downloading reverse dependencies ‘BeeBDC’, ‘BOLDconnectR’, ‘commecometrics’, ‘CoordinateCleaner’, ‘Directional’, ‘esviz’, ‘geeLite’, ‘geofacet’, ‘geohabnet’, ‘geospatialsuite’, ‘GGoutlieR’, ‘IceSat2R’, ‘ISRaD’, ‘monographaR’, ‘prisonbrief’, ‘rangeBuilder’, ‘sampbias’, ‘SDGdetector’, ‘virtualspecies’, ‘voluModel’, ‘bioregion’, ‘cartographer’, ‘CAST’, ‘cmsafvis’, ‘colorist’, ‘csquares’, ‘divvy’, ‘ebirdst’, ‘fishualize’, ‘getRad’, ‘GIFT’, ‘gmwmx2’, ‘igrf’, ‘INLAspacetime’, ‘latbias’, ‘maps’, ‘metR’, ‘move2’, ‘mvtweedie’, ‘naturaList’, ‘quadkeyr’, ‘rcarbon’, ‘rdwd’, ‘rice’, ‘rmacrostrat’, ‘RRgeo’, ‘RtsEva’, ‘shoredate’, ‘skylight’, ‘slendr’, ‘ssMRCD’, ‘tidypopgen’, ‘tinyVAST’, ‘Tivy’, ‘TTR.PGM’ trying URL 'file:///data/Repositories/CRAN/src/contrib/BeeBDC_1.3.2.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/BOLDconnectR_1.0.0.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/commecometrics_1.0.1.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/CoordinateCleaner_3.0.1.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/Directional_7.3.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/esviz_0.0.1.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/geeLite_1.0.6.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/geofacet_0.2.4.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/geohabnet_2.2.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/geospatialsuite_0.1.1.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/GGoutlieR_1.0.2.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/IceSat2R_1.0.7.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/ISRaD_2.5.5.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/monographaR_1.3.1.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/prisonbrief_0.1.2.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/rangeBuilder_2.2.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/sampbias_2.0.0.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/SDGdetector_2.7.3.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/virtualspecies_1.6.1.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/voluModel_0.2.3.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/bioregion_1.2.0.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/cartographer_0.2.1.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/CAST_1.0.3.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/cmsafvis_1.3.0.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/colorist_0.1.3.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/csquares_0.1.0.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/divvy_1.0.1.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/ebirdst_3.2023.1.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/fishualize_0.2.3.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/getRad_0.2.4.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/GIFT_1.3.3.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/gmwmx2_0.0.4.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/igrf_2.0.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/INLAspacetime_0.1.13.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/latbias_1.0.0.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/maps_3.4.3.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/metR_0.18.3.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/move2_0.4.5.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/mvtweedie_1.2.0.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/naturaList_0.5.2.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/quadkeyr_0.1.0.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/rcarbon_1.5.2.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/rdwd_1.9.8.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/rice_1.6.0.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/rmacrostrat_1.0.0.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/RRgeo_0.0.6.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/RtsEva_1.1.0.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/shoredate_1.1.1.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/skylight_1.4.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/slendr_1.4.0.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/ssMRCD_2.0.1.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/tidypopgen_0.4.1.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/tinyVAST_1.4.0.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/Tivy_0.1.1.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/TTR.PGM_1.0.0.tar.gz' installing dependencies ‘adehabitatHS’, ‘admixr’, ‘admixtools’, ‘BAT’, ‘Bchron’, ‘bdc’, ‘bigreadr’, ‘bigsnpr’, ‘biomod2’, ‘bioRad’, ‘ClimProjDiags’, ‘cmsafops’, ‘CoordinateCleaner’, ‘CopernicusDEM’, ‘CopernicusMarine’, ‘CSTools’, ‘cv’, ‘deeptime’, ‘detectRUNS’, ‘DOYPAColors’, ‘dsem’, ‘dwdradar’, ‘easyNCDF’, ‘ecospat’, ‘emld’, ‘fasterize’, ‘fastkmedoids’, ‘FastKNN’, ‘galah’, ‘geogrid’, ‘ggOceanMaps’, ‘gsheet’, ‘h3jsr’, ‘hierfstat’, ‘ijtiff’, ‘iNEXT’, ‘INLA’, ‘inlabru’, ‘INLAtools’, ‘knitcitations’, ‘kriging’, ‘LEA’, ‘leastcostpath’, ‘mockthat’, ‘modEvA’, ‘move’, ‘msa’, ‘muscle’, ‘nhdplusTools’, ‘OSMscale’, ‘palaeoverse’, ‘pals’, ‘passport’, ‘PCAmixdata’, ‘pkgnet’, ‘POT’, ‘prettymapr’, ‘rainfarmr’, ‘rangeBuilder’, ‘rcdo’, ‘rfishbase’, ‘rgee’, ‘rgnparser’, ‘rintcal’, ‘rnaturalearth’, ‘rnaturalearthhires’, ‘Rphylopars’, ‘rphylopic’, ‘RRphylo’, ‘runner’, ‘s2dv’, ‘scico’, ‘sdmTMB’, ‘SearchTrees’, ‘shinyLP’, ‘SpadeR’, ‘sparseinv’, ‘taxadb’, ‘texmex’, ‘tidygeocoder’, ‘tinyVAST’, ‘variancePartition’, ‘visreg’, ‘vol2birdR’, ‘wv’, ‘zipcodeR’ Warning: packages ‘rnaturalearthhires’, ‘bdc’, ‘INLA’, ‘admixtools’ are not available for this version of R Versions of these packages for your version of R might be available elsewhere, see the ideas at https://cran.r-project.org/doc/manuals/r-devel/R-admin.html#Installing-packages also installing the dependencies ‘robcor’, ‘potions’, ‘contentid’, ‘multiApply’, ‘SpecsVerification’, ‘easyVerification’, ‘qmap’, ‘startR’, ‘verification’, ‘remaCor’, ‘hydroloom’, ‘duckdbfs’, ‘suntools’, ‘simts’, ‘OpenStreetMap’, ‘deeptimedata’, ‘bigsparser’, ‘bigutilsr’, ‘runonce’, ‘fishMod’, ‘RTMB’ begin installing package ‘robcor’ begin installing package ‘potions’ begin installing package ‘contentid’ begin installing package ‘multiApply’ begin installing package ‘SpecsVerification’ begin installing package ‘qmap’ begin installing package ‘remaCor’ begin installing package ‘verification’ begin installing package ‘hydroloom’ begin installing package ‘duckdbfs’ begin installing package ‘suntools’ begin installing package ‘OpenStreetMap’ begin installing package ‘deeptimedata’ begin installing package ‘bigsparser’ begin installing package ‘bigutilsr’ begin installing package ‘runonce’ begin installing package ‘fishMod’ begin installing package ‘RTMB’ begin installing package ‘emld’ begin installing package ‘iNEXT’ begin installing package ‘rgnparser’ begin installing package ‘SpadeR’ begin installing package ‘BAT’ begin installing package ‘msa’ begin installing package ‘muscle’ begin installing package ‘bigreadr’ begin installing package ‘easyNCDF’ begin installing package ‘h3jsr’ * installing *source* package ‘runonce’ ... ** this is package ‘runonce’ version ‘0.3.3’ ** package ‘runonce’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (runonce) begin installing package ‘rgee’ * installing *source* package ‘robcor’ ... ** this is package ‘robcor’ version ‘0.1-6.1’ ** package ‘robcor’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (robcor) begin installing package ‘geogrid’ * installing *source* package ‘duckdbfs’ ... ** this is package ‘duckdbfs’ version ‘0.1.2’ ** package ‘duckdbfs’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (duckdbfs) begin installing package ‘mockthat’ * installing *source* package ‘multiApply’ ... ** this is package ‘multiApply’ version ‘2.1.5’ ** package ‘multiApply’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (multiApply) begin installing package ‘pkgnet’ * installing *source* package ‘potions’ ... ** this is package ‘potions’ version ‘0.2.0’ ** package ‘potions’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (potions) begin installing package ‘zipcodeR’ * installing *source* package ‘contentid’ ... ** this is package ‘contentid’ version ‘0.0.19’ ** package ‘contentid’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (contentid) begin installing package ‘tidygeocoder’ * installing *source* package ‘easyNCDF’ ... ** this is package ‘easyNCDF’ version ‘0.1.4’ ** package ‘easyNCDF’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (easyNCDF) begin installing package ‘FastKNN’ * installing *source* package ‘rgnparser’ ... ** this is package ‘rgnparser’ version ‘0.3.0’ ** package ‘rgnparser’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rgnparser) begin installing package ‘CopernicusDEM’ * installing *source* package ‘suntools’ ... ** this is package ‘suntools’ version ‘1.1.0’ ** package ‘suntools’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading in method for ‘crepuscule’ with signature ‘crds="SpatialPoints",dateTime="POSIXct"’: no definition for class “SpatialPoints” in method for ‘solarnoon’ with signature ‘crds="SpatialPoints",dateTime="POSIXct"’: no definition for class “SpatialPoints” in method for ‘solarpos’ with signature ‘crds="SpatialPoints",dateTime="POSIXct"’: no definition for class “SpatialPoints” in method for ‘sunriset’ with signature ‘crds="SpatialPoints",dateTime="POSIXct"’: no definition for class “SpatialPoints” ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (suntools) begin installing package ‘passport’ * installing *source* package ‘deeptimedata’ ... ** this is package ‘deeptimedata’ version ‘1.0.0’ ** package ‘deeptimedata’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (deeptimedata) begin installing package ‘modEvA’ * installing *source* package ‘mockthat’ ... ** this is package ‘mockthat’ version ‘0.2.8’ ** package ‘mockthat’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mockthat) begin installing package ‘fastkmedoids’ * installing *source* package ‘emld’ ... ** this is package ‘emld’ version ‘0.5.3’ ** package ‘emld’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (emld) begin installing package ‘PCAmixdata’ * installing *source* package ‘fishMod’ ... ** this is package ‘fishMod’ version ‘0.29.2’ ** package ‘fishMod’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-15 (Debian 15.2.0-12) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmpk1dpvY/R.INSTALL3402726e33a4a7/fishMod/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Tweedie.cc -o Tweedie.o Tweedie.cc: In function ‘SEXPREC* dTweedie(SEXP, SEXP, SEXP, SEXP, SEXP)’: Tweedie.cc:25:21: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 25 | for( size_t i=0; i&, double*, int, int, double, double, const std::vector&, double, double)’: TweedieDeriv.cc:104:31: warning: unused variable ‘logW’ [-Wunused-variable] 104 | double Beta0, z1, z2, logW; //names are pretty obvious from supporting documentation | ^~~~ TweedieDeriv.cc: In function ‘void findWDeriv(double, double, double, double, double, double, double, std::vector&, std::vector&, std::vector&)’: TweedieDeriv.cc:162:10: warning: unused variable ‘res’ [-Wunused-variable] 162 | double res; | ^~~ g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o fishMod.so Tweedie.o TweedieDeriv.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmpk1dpvY/R.INSTALL3402726e33a4a7/fishMod/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-fishMod/00new/fishMod/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fishMod) begin installing package ‘rainfarmr’ * installing *source* package ‘FastKNN’ ... ** this is package ‘FastKNN’ version ‘0.0.1’ ** package ‘FastKNN’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (FastKNN) begin installing package ‘SearchTrees’ * installing *source* package ‘passport’ ... ** this is package ‘passport’ version ‘0.3.0’ ** package ‘passport’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (passport) begin installing package ‘scico’ * installing *source* package ‘h3jsr’ ... ** this is package ‘h3jsr’ version ‘1.3.1’ ** package ‘h3jsr’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (h3jsr) begin installing package ‘vol2birdR’ * installing *source* package ‘CopernicusDEM’ ... ** this is package ‘CopernicusDEM’ version ‘1.0.5’ ** package ‘CopernicusDEM’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (CopernicusDEM) begin installing package ‘knitcitations’ * installing *source* package ‘rainfarmr’ ... ** this is package ‘rainfarmr’ version ‘0.1’ ** package ‘rainfarmr’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rainfarmr) begin installing package ‘inlabru’ * installing *source* package ‘qmap’ ... ** this is package ‘qmap’ version ‘1.0-6’ ** package ‘qmap’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (qmap) begin installing package ‘DOYPAColors’ * installing *source* package ‘SearchTrees’ ... ** this is package ‘SearchTrees’ version ‘0.5.5’ ** package ‘SearchTrees’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-15 (Debian 15.2.0-12) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpLFeq86/R.INSTALL3407b220320326/SearchTrees/src' gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c quadtree2.c -o quadtree2.o quadtree2.c: In function ‘R_Build_Quadtree_Rect’: quadtree2.c:66:25: warning: unused variable ‘ptr2’ [-Wunused-variable] 66 | SEXP klass, ans, ptr, ptr2; | ^~~~ quadtree2.c: In function ‘R_Build_Quadtree_Pt’: quadtree2.c:105:7: warning: unused variable ‘res’ [-Wunused-variable] 105 | int res; | ^~~ quadtree2.c: In function ‘Add_Rects_To_Bucket’: quadtree2.c:211:7: warning: unused variable ‘olddatsize’ [-Wunused-variable] 211 | int olddatsize; | ^~~~~~~~~~ quadtree2.c:210:12: warning: unused variable ‘olddat’ [-Wunused-variable] 210 | rect_t **olddat; | ^~~~~~ quadtree2.c: In function ‘R_Find_Neighbors_Pts’: quadtree2.c:356:7: warning: unused variable ‘inserted’ [-Wunused-variable] 356 | int inserted = 0; | ^~~~~~~~ quadtree2.c:350:7: warning: unused variable ‘filled’ [-Wunused-variable] 350 | int filled; | ^~~~~~ quadtree2.c: In function ‘Descend_To_Bucket’: quadtree2.c:421:10: warning: ‘ret’ may be used uninitialized [-Wmaybe-uninitialized] 421 | return ret; | ^~~ quadtree2.c:406:13: note: ‘ret’ was declared here 406 | qtree2_t *ret; | ^~~ gcc-15 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o SearchTrees.so quadtree2.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpLFeq86/R.INSTALL3407b220320326/SearchTrees/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-SearchTrees/00new/SearchTrees/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (SearchTrees) begin installing package ‘ggOceanMaps’ * installing *source* package ‘tidygeocoder’ ... ** this is package ‘tidygeocoder’ version ‘1.0.6’ ** package ‘tidygeocoder’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tidygeocoder) begin installing package ‘kriging’ * installing *source* package ‘verification’ ... ** this is package ‘verification’ version ‘1.45’ ** package ‘verification’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (verification) begin installing package ‘rcdo’ * installing *source* package ‘scico’ ... ** this is package ‘scico’ version ‘1.5.0’ ** package ‘scico’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (scico) begin installing package ‘move’ * installing *source* package ‘PCAmixdata’ ... ** this is package ‘PCAmixdata’ version ‘3.1’ ** package ‘PCAmixdata’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (PCAmixdata) begin installing package ‘prettymapr’ * installing *source* package ‘hydroloom’ ... ** this is package ‘hydroloom’ version ‘1.1.1’ ** package ‘hydroloom’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (hydroloom) begin installing package ‘fasterize’ * installing *source* package ‘bigreadr’ ... ** this is package ‘bigreadr’ version ‘0.2.5’ ** package ‘bigreadr’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-15 (Debian 15.2.0-12) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpMbOx7e/R.INSTALL34028acbe25a5/bigreadr/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c nlines-split.cpp -o nlines-split.o g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o bigreadr.so RcppExports.o nlines-split.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpMbOx7e/R.INSTALL34028acbe25a5/bigreadr/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-bigreadr/00new/bigreadr/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (bigreadr) begin installing package ‘shinyLP’ * installing *source* package ‘kriging’ ... ** this is package ‘kriging’ version ‘1.2’ ** package ‘kriging’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-15 (Debian 15.2.0-12) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpawOsVJ/R.INSTALL340b64290b991b/kriging/src' gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c kriging.c -o kriging.o kriging.c: In function ‘krigpred’: kriging.c:136:13: warning: unused variable ‘k’ [-Wunused-variable] 136 | int i, j, k; | ^ gcc-15 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o kriging.so kriging.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpawOsVJ/R.INSTALL340b64290b991b/kriging/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-kriging/00new/kriging/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (kriging) begin installing package ‘dwdradar’ * installing *source* package ‘knitcitations’ ... ** this is package ‘knitcitations’ version ‘1.0.12’ ** package ‘knitcitations’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (knitcitations) begin installing package ‘gsheet’ * installing *source* package ‘prettymapr’ ... ** this is package ‘prettymapr’ version ‘0.2.5’ ** package ‘prettymapr’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (prettymapr) begin installing package ‘rintcal’ * installing *source* package ‘dwdradar’ ... ** this is package ‘dwdradar’ version ‘0.2.10’ ** package ‘dwdradar’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-15 (Debian 15.2.0-12) 15.2.0’ using Fortran compiler: ‘GNU Fortran (Debian 15.2.0-12) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpvWy6Vt/R.INSTALL3410a268eed42b/dwdradar/src' gfortran-15 -fpic -g -O2 -Wall -pedantic -mtune=native -c binary_to_num.f90 -o binary_to_num.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-15 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o dwdradar.so binary_to_num.o init.o -lgfortran -lm -lquadmath -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpvWy6Vt/R.INSTALL3410a268eed42b/dwdradar/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-dwdradar/00new/dwdradar/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (dwdradar) begin installing package ‘CopernicusMarine’ * installing *source* package ‘pkgnet’ ... ** this is package ‘pkgnet’ version ‘0.5.0’ ** package ‘pkgnet’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pkgnet) begin installing package ‘rphylopic’ * installing *source* package ‘DOYPAColors’ ... ** this is package ‘DOYPAColors’ version ‘0.0.2’ ** package ‘DOYPAColors’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (DOYPAColors) begin installing package ‘Rphylopars’ * installing *source* package ‘shinyLP’ ... ** this is package ‘shinyLP’ version ‘1.1.3’ ** package ‘shinyLP’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (shinyLP) begin installing package ‘RRphylo’ * installing *source* package ‘gsheet’ ... ** this is package ‘gsheet’ version ‘0.4.6’ ** package ‘gsheet’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (gsheet) begin installing package ‘leastcostpath’ * installing *source* package ‘rintcal’ ... ** this is package ‘rintcal’ version ‘1.3.1’ ** package ‘rintcal’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rintcal) begin installing package ‘biomod2’ * installing *source* package ‘rcdo’ ... ** this is package ‘rcdo’ version ‘0.3.2’ ** package ‘rcdo’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rcdo) begin installing package ‘Bchron’ * installing *source* package ‘CopernicusMarine’ ... ** this is package ‘CopernicusMarine’ version ‘0.3.7’ ** package ‘CopernicusMarine’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (CopernicusMarine) begin installing package ‘adehabitatHS’ * installing *source* package ‘leastcostpath’ ... ** this is package ‘leastcostpath’ version ‘2.0.13’ ** package ‘leastcostpath’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (leastcostpath) begin installing package ‘POT’ * installing *source* package ‘iNEXT’ ... ** this is package ‘iNEXT’ version ‘3.0.2’ ** package ‘iNEXT’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-15 (Debian 15.2.0-12) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp4JnCEu/R.INSTALL3402774a84264c/iNEXT/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c subfuns.cpp -o subfuns.o g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o iNEXT.so RcppExports.o subfuns.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp4JnCEu/R.INSTALL3402774a84264c/iNEXT/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-iNEXT/00new/iNEXT/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (iNEXT) begin installing package ‘texmex’ * installing *source* package ‘remaCor’ ... ** this is package ‘remaCor’ version ‘0.0.20’ ** package ‘remaCor’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-15 (Debian 15.2.0-12) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp2BV3Mu/R.INSTALL34023a4ed7b4ca/remaCor/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rwishart_chol.cpp -o rwishart_chol.o g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o remaCor.so RcppExports.o rwishart_chol.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp2BV3Mu/R.INSTALL34023a4ed7b4ca/remaCor/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-remaCor/00new/remaCor/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (remaCor) begin installing package ‘ijtiff’ Warning: SystemRequirements specified C++11: support has been removed * installing *source* package ‘fastkmedoids’ ... ** this is package ‘fastkmedoids’ version ‘1.2’ ** package ‘fastkmedoids’ successfully unpacked and MD5 sums checked ** using staged installation ** libs specified C++11 using C++ compiler: ‘g++-15 (Debian 15.2.0-12) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp6wslDa/R.INSTALL3406e8322deccb/fastkmedoids/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c pam.cpp -o pam.o In file included from pam.cpp:21: pam.h: In member function ‘int Xoroshiro128Random::nextInt(int)’: pam.h:57:55: warning: suggest parentheses around ‘-’ in operand of ‘&’ [-Wparentheses] 57 | int r = (int)((n & -n) == n ? nextLong() & n - 1 // power of two | ~~^~~ pam.h: In member function ‘std::vector Xoroshiro128Random::randomSample(int, int)’: pam.h:82:35: warning: comparison of integer expressions of different signedness: ‘std::unordered_map::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 82 | while (sample_dict.size() < samplesize) { | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ pam.h: At global scope: pam.h:465:25: warning: ‘virtual Assignment& Assignment::operator=(const Assignment&)’ was hidden [-Woverloaded-virtual=] 465 | virtual Assignment& operator=(const Assignment& other); | ^~~~~~~~ pam.h:533:7: note: by ‘FastAssignment& FastAssignment::operator=(const FastAssignment&)’ 533 | class FastAssignment : public Assignment | ^~~~~~~~~~~~~~ pam.cpp: In member function ‘double LAB::getMinDist(int, std::vector&, std::vector&)’: pam.cpp:132:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 132 | for (int i=0; i LAB::run(const std::vector&, int)’: pam.cpp:166:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 166 | for (int j=0; j::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 191 | while(medids.size() < k) { | ~~~~~~~~~~~~~~^~~ pam.cpp:203:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 203 | for (int j=0; j&)’: pam.cpp:374:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 374 | for (int j=0; j&, std::vector&, std::vector&, std::vector&)’: pam.cpp:522:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 522 | for (int j=0; j::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 527 | for(int i = 0; i < cost.size(); i++) { | ~~^~~~~~~~~~~~~ pam.cpp: In member function ‘virtual void FastPAM::computeReassignmentCost(int, std::vector&)’: pam.cpp:566:37: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 566 | for(int pi = pj + 1; pi < cost.size(); pi++) { | ~~~^~~~~~~~~~~~~ pam.cpp: In member function ‘virtual double FastPAM::assignToNearestCluster(std::vector&)’: pam.cpp:608:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 608 | for (int h=0; h< means.size(); ++h) { | ~^~~~~~~~~~~~~~ pam.cpp: In member function ‘int FastPAM::argmin(const std::vector&)’: pam.cpp:639:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 639 | for(int i = 0; i < best.size(); i++) { | ~~^~~~~~~~~~~~~ pam.cpp: In member function ‘int FastPAM::updateSecondNearest(int, std::vector&, int, double, int)’: pam.cpp:716:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 716 | for (int i=0; i PAMUtils::randomSample(Xoroshiro128Random&, int, int, const std::vector&)’: pam.cpp:740:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 740 | for (int i=0; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 748 | for (int i=0; i::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 756 | if (sample_dict.size() < samplesize) { | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ pam.cpp:761:58: warning: comparison of integer expressions of different signedness: ‘std::unordered_map::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 761 | for (int i=0; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 822 | for (int k=0; k&, std::vector&, std::vector&, std::vector&)’: pam.cpp:844:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 844 | for (int j=0; j::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 856 | for (int i=0; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 916 | for (int k=0; k::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1119 | for(int i = 0; i < medoids.size(); i++) { | ~~^~~~~~~~~~~~~~~~ pam.cpp: In member function ‘virtual bool Assignment::hasMedoid(int)’: pam.cpp:1157:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1157 | for (int i=0; i&, int)’: pam.cpp:344:30: warning: ‘bestid’ may be used uninitialized [-Wmaybe-uninitialized] 344 | medoids[bestcluster] = bestid; pam.cpp:313:9: note: ‘bestid’ was declared here 313 | int bestid; | ^~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rcpp_fastkmedoids.cpp -o rcpp_fastkmedoids.o In file included from rcpp_fastkmedoids.cpp:19: pam.h: In member function ‘int Xoroshiro128Random::nextInt(int)’: pam.h:57:55: warning: suggest parentheses around ‘-’ in operand of ‘&’ [-Wparentheses] 57 | int r = (int)((n & -n) == n ? nextLong() & n - 1 // power of two | ~~^~~ pam.h: In member function ‘std::vector Xoroshiro128Random::randomSample(int, int)’: pam.h:82:35: warning: comparison of integer expressions of different signedness: ‘std::unordered_map::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 82 | while (sample_dict.size() < samplesize) { | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ pam.h: At global scope: pam.h:465:25: warning: ‘virtual Assignment& Assignment::operator=(const Assignment&)’ was hidden [-Woverloaded-virtual=] 465 | virtual Assignment& operator=(const Assignment& other); | ^~~~~~~~ pam.h:533:7: note: by ‘FastAssignment& FastAssignment::operator=(const FastAssignment&)’ 533 | class FastAssignment : public Assignment | ^~~~~~~~~~~~~~ g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o fastkmedoids.so RcppExports.o pam.o rcpp_fastkmedoids.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp6wslDa/R.INSTALL3406e8322deccb/fastkmedoids/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-fastkmedoids/00new/fastkmedoids/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fastkmedoids) begin installing package ‘admixr’ * installing *source* package ‘geogrid’ ... ** this is package ‘geogrid’ version ‘0.1.2’ ** package ‘geogrid’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-15 (Debian 15.2.0-12) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmpgkdj8C/R.INSTALL3404eb386a5255/geogrid/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c minimal-assignment.cpp -o minimal-assignment.o minimal-assignment.cpp: In function ‘void augment_path(const int&, arma::umat&, const arma::imat&)’: minimal-assignment.cpp:305:32: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘const int’ [-Wsign-compare] 305 | for (unsigned int p = 0; p < path_count; ++p) { | ~~^~~~~~~~~~~~ g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o geogrid.so RcppExports.o minimal-assignment.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmpgkdj8C/R.INSTALL3404eb386a5255/geogrid/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-geogrid/00new/geogrid/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (geogrid) begin installing package ‘runner’ * installing *source* package ‘SpadeR’ ... ** this is package ‘SpadeR’ version ‘0.1.1’ ** package ‘SpadeR’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (SpadeR) begin installing package ‘hierfstat’ * installing *source* package ‘admixr’ ... ** this is package ‘admixr’ version ‘0.9.2’ ** package ‘admixr’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (admixr) begin installing package ‘detectRUNS’ * installing *source* package ‘ijtiff’ ... ** this is package ‘ijtiff’ version ‘3.1.3’ ** package ‘ijtiff’ successfully unpacked and MD5 sums checked ** using staged installation ** preparing to configure package 'ijtiff' ... Found pkg-config! Found pkg-config cflags and/or libs for libtiff! Using PKG_CFLAGS=-I/usr/include/x86_64-linux-gnu -I/usr/include/webp Using PKG_LIBS=-ltiff -lwebp -lm -lsharpyuv -lzstd -pthread -llzma -lpthread -ljpeg -ldeflate -lz ** finished configure for package 'ijtiff' ** libs using C compiler: ‘gcc-15 (Debian 15.2.0-12) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpRavaUl/R.INSTALL341e4f3764c884/ijtiff/src' gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c common.c -o common.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c read.c -o read.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c tags.c -o tags.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c utils.c -o utils.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c write.c -o write.o gcc-15 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o ijtiff.so common.o init.o read.o tags.o utils.o write.o -ltiff -lwebp -lm -lsharpyuv -lzstd -pthread -llzma -lpthread -ljpeg -ldeflate -lz -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpRavaUl/R.INSTALL341e4f3764c884/ijtiff/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-ijtiff/00new/ijtiff/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ijtiff) begin installing package ‘LEA’ * installing *source* package ‘rphylopic’ ... ** this is package ‘rphylopic’ version ‘1.6.0’ ** package ‘rphylopic’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rphylopic) begin installing package ‘cv’ * installing *source* package ‘rgee’ ... ** this is package ‘rgee’ version ‘1.1.8’ ** package ‘rgee’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rgee) begin installing package ‘sparseinv’ * installing *source* package ‘Bchron’ ... ** this is package ‘Bchron’ version ‘4.7.8’ ** package ‘Bchron’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-15 (Debian 15.2.0-12) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmprS8Tal/R.INSTALL341bff1bdddd27/Bchron/src' gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c Bchron.c -o Bchron.o In file included from Bchron.c:4: Bchron.c: In function ‘dtweedielogwsmallp’: /home/hornik/tmp/R/include/Rmath.h:252:25: warning: ‘*A[0]’ may be used uninitialized [-Wmaybe-uninitialized] 252 | #define fmax2 Rf_fmax2 Bchron.c:100:12: note: in expansion of macro ‘fmax2’ 100 | double m=fmax2(A[0],hij-lowj+1); | ^~~~~ gcc-15 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o Bchron.so Bchron.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmprS8Tal/R.INSTALL341bff1bdddd27/Bchron/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-Bchron/00new/Bchron/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Bchron) begin installing package ‘visreg’ * installing *source* package ‘POT’ ... ** this is package ‘POT’ version ‘1.1-11’ ** package ‘POT’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-15 (Debian 15.2.0-12) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpHgqW1R/R.INSTALL341ca02a409c32/POT/src' gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c POT.c -o POT.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c bvgpdlik.c -o bvgpdlik.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ccop.c -o ccop.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c cgpdlik.c -o cgpdlik.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c clust.c -o clust.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c mcgpdlik.c -o mcgpdlik.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c simmc.c -o simmc.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ts2tsd.c -o ts2tsd.o gcc-15 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o POT.so POT.o bvgpdlik.o ccop.o cgpdlik.o clust.o init.o mcgpdlik.o simmc.o ts2tsd.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpHgqW1R/R.INSTALL341ca02a409c32/POT/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-POT/00new/POT/libs ** R ** data ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (POT) begin installing package ‘pals’ * installing *source* package ‘hierfstat’ ... ** this is package ‘hierfstat’ version ‘0.5-11’ ** package ‘hierfstat’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (hierfstat) begin installing package ‘rnaturalearth’ * installing *source* package ‘adehabitatHS’ ... ** this is package ‘adehabitatHS’ version ‘0.3.18’ ** package ‘adehabitatHS’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-15 (Debian 15.2.0-12) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpuZHwKc/R.INSTALL341c6978877faf/adehabitatHS/src' gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c tests.c -o tests.o gcc-15 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o adehabitatHS.so init.o tests.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpuZHwKc/R.INSTALL341c6978877faf/adehabitatHS/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-adehabitatHS/00new/adehabitatHS/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (adehabitatHS) begin installing package ‘simts’ * installing *source* package ‘pals’ ... ** this is package ‘pals’ version ‘1.10’ ** package ‘pals’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pals) begin installing package ‘galah’ * installing *source* package ‘rnaturalearth’ ... ** this is package ‘rnaturalearth’ version ‘1.2.0’ ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rnaturalearth) begin installing package ‘taxadb’ * installing *source* package ‘visreg’ ... ** this is package ‘visreg’ version ‘2.8.0’ ** package ‘visreg’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (visreg) begin installing package ‘ClimProjDiags’ * installing *source* package ‘OpenStreetMap’ ... ** this is package ‘OpenStreetMap’ version ‘0.4.1’ ** package ‘OpenStreetMap’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading in method for ‘raster’ with signature ‘"osmtile"’: no definition for class “osmtile” in method for ‘raster’ with signature ‘"OpenStreetMap"’: no definition for class “OpenStreetMap” ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (OpenStreetMap) begin installing package ‘variancePartition’ * installing *source* package ‘inlabru’ ... ** this is package ‘inlabru’ version ‘2.13.0’ ** package ‘inlabru’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (inlabru) begin installing package ‘nhdplusTools’ * installing *source* package ‘modEvA’ ... ** this is package ‘modEvA’ version ‘3.41’ ** package ‘modEvA’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (modEvA) begin installing package ‘rangeBuilder’ * installing *source* package ‘cv’ ... ** this is package ‘cv’ version ‘2.0.4’ ** package ‘cv’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (cv) begin installing package ‘cmsafops’ * installing *source* package ‘SpecsVerification’ ... ** this is package ‘SpecsVerification’ version ‘0.5-3’ ** package ‘SpecsVerification’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-15 (Debian 15.2.0-12) 15.2.0’ using C++ compiler: ‘g++-15 (Debian 15.2.0-12) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpfjeMlH/R.INSTALL34022f44445605/SpecsVerification/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c auc.cpp -o auc.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c auc_diff.cpp -o auc_diff.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c dresscrps.cpp -o dresscrps.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c enscrps.cpp -o enscrps.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c native_routine_registration.c -o native_routine_registration.o g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o SpecsVerification.so RcppExports.o auc.o auc_diff.o dresscrps.o enscrps.o native_routine_registration.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpfjeMlH/R.INSTALL34022f44445605/SpecsVerification/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-SpecsVerification/00new/SpecsVerification/libs ** R ** data *** moving datasets to lazyload DB ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (SpecsVerification) begin installing package ‘rfishbase’ * installing *source* package ‘ggOceanMaps’ ... ** this is package ‘ggOceanMaps’ version ‘2.2.0’ ** package ‘ggOceanMaps’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ggOceanMaps) begin installing package ‘bioRad’ * installing *source* package ‘zipcodeR’ ... ** this is package ‘zipcodeR’ version ‘0.3.5’ ** package ‘zipcodeR’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (zipcodeR) begin installing package ‘INLAtools’ * installing *source* package ‘ClimProjDiags’ ... ** this is package ‘ClimProjDiags’ version ‘0.3.5’ ** package ‘ClimProjDiags’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-15 (Debian 15.2.0-12) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpdqO5Q4/R.INSTALL3428631ef14437/ClimProjDiags/src' gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c PCICt_init.c -o PCICt_init.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c datetime_360.c -o datetime_360.o gcc-15 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o ClimProjDiags.so PCICt_init.o datetime_360.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpdqO5Q4/R.INSTALL3428631ef14437/ClimProjDiags/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-ClimProjDiags/00new/ClimProjDiags/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ClimProjDiags) begin installing package ‘OSMscale’ * installing *source* package ‘RRphylo’ ... ** this is package ‘RRphylo’ version ‘3.0.2’ ** package ‘RRphylo’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (RRphylo) begin installing package ‘deeptime’ * installing *source* package ‘taxadb’ ... ** this is package ‘taxadb’ version ‘0.2.1’ ** package ‘taxadb’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (taxadb) begin installing package ‘palaeoverse’ * installing *source* package ‘rfishbase’ ... ** this is package ‘rfishbase’ version ‘5.0.2’ ** package ‘rfishbase’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rfishbase) begin installing package ‘sdmTMB’ * installing *source* package ‘bigutilsr’ ... ** this is package ‘bigutilsr’ version ‘0.3.11’ ** package ‘bigutilsr’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-15 (Debian 15.2.0-12) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpBQIHVF/R.INSTALL3402677cec1c42/bigutilsr/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DARMA_DONT_PRINT_OPENMP_WARNING -DARMA_DONT_PRINT_CXX11_WARNING -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:5: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/InputParameter.h:51:11: required from ‘class Rcpp::ReferenceInputParameter >’ 51 | T obj ; | ^~~ RcppExports.cpp:37:68: required from here 37 | Rcpp::traits::input_parameter< Eigen::MatrixXd& >::type A(ASEXP); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/InputParameter.h:51:11: required from ‘class Rcpp::ReferenceInputParameter >’ 51 | T obj ; | ^~~ RcppExports.cpp:37:68: required from here 37 | Rcpp::traits::input_parameter< Eigen::MatrixXd& >::type A(ASEXP); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/InputParameter.h:77:11: required from ‘class Rcpp::ConstReferenceInputParameter >’ 77 | T obj ; | ^~~ RcppExports.cpp:38:74: required from here 38 | Rcpp::traits::input_parameter< const Eigen::VectorXd& >::type b(bSEXP); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DARMA_DONT_PRINT_OPENMP_WARNING -DARMA_DONT_PRINT_CXX11_WARNING -fpic -g -O2 -Wall -pedantic -mtune=native -c glasso.cpp -o glasso.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DARMA_DONT_PRINT_OPENMP_WARNING -DARMA_DONT_PRINT_CXX11_WARNING -fpic -g -O2 -Wall -pedantic -mtune=native -c linear-system.cpp -o linear-system.o In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from linear-system.cpp:2: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ linear-system.cpp:25:59: required from here 25 | double add_to_diag = 0) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ linear-system.cpp:25:59: required from here 25 | double add_to_diag = 0) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ linear-system.cpp:26:12: required from here 26 | int K = A.cols(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ 59 | template class RefBase | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:329:77: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ 329 | template class Ref | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:37:41: required from ‘struct Eigen::internal::is_ref_compatible_impl >’ 37 | enum { value = sizeof(test(ms_from, 0))==sizeof(yes) }; | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:43:81: required from ‘struct Eigen::internal::is_ref_compatible >’ 43 | enum { value = is_ref_compatible_impl::type>::value }; | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h:46:49: required from ‘class Eigen::IterativeSolverBase > >’ 46 | template::value> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/MINRES.h:195:11: required from ‘class Eigen::MINRES >’ 195 | class MINRES : public IterativeSolverBase > | ^~~~~~ linear-system.cpp:28:42: required from here 28 | Eigen::MINRES minres(A); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41: required from ‘struct Eigen::internal::mapbase_evaluator, 0, Eigen::OuterStride<> >, const Eigen::Matrix >’ 887 | typedef typename XprType::PointerType PointerType; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:977:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ 977 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ 1018 | Flags = evaluator >::Flags, | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> > >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:340:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 340 | typename internal::enable_if::ScalarTypeMatch),Derived>::type* = 0) | ^~~~~~~~~~~~~~~ linear-system.cpp:28:42: required from here 28 | Eigen::MINRES minres(A); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ linear-system.cpp:29:22: required from here 29 | return minres.solve(b); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::MINRES >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ linear-system.cpp:29:22: required from here 29 | return minres.solve(b); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/MINRES.h:59:37: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::MINRES >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ linear-system.cpp:29:22: required from here 29 | return minres.solve(b); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/MINRES.h:59:33: required from ‘void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::IdentityPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ 59 | VectorType v_new(rhs-mat*x); //initialize v_new | ~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/MINRES.h:256:29: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::MINRES >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ linear-system.cpp:29:22: required from here 29 | return minres.solve(b); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::MINRES >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ linear-system.cpp:29:22: required from here 29 | return minres.solve(b); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/MINRES.h:97:47: required from ‘void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::IdentityPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ 97 | v_new.noalias() = mat*w - beta*v_old; // compute v_new | ~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/MINRES.h:256:29: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::MINRES >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ linear-system.cpp:29:22: required from here 29 | return minres.solve(b); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/MINRES.h:97:41: required from ‘void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::IdentityPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ 97 | v_new.noalias() = mat*w - beta*v_old; // compute v_new | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/MINRES.h:256:29: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::MINRES >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ linear-system.cpp:29:22: required from here 29 | return minres.solve(b); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/MINRES.h:118:31: required from ‘void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::IdentityPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ 118 | p.noalias()=(w-r2*p_old-r3*p_oold) /r1; // IS NOALIAS REQUIRED? | ~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/MINRES.h:256:29: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::MINRES >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ linear-system.cpp:29:22: required from here 29 | return minres.solve(b); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/MINRES.h:118:40: required from ‘void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::IdentityPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ 118 | p.noalias()=(w-r2*p_old-r3*p_oold) /r1; // IS NOALIAS REQUIRED? | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/MINRES.h:256:29: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::MINRES >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ linear-system.cpp:29:22: required from here 29 | return minres.solve(b); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/MINRES.h:118:52: required from ‘void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::IdentityPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ 118 | p.noalias()=(w-r2*p_old-r3*p_oold) /r1; // IS NOALIAS REQUIRED? | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/MINRES.h:256:29: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::MINRES >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ linear-system.cpp:29:22: required from here 29 | return minres.solve(b); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/MINRES.h:42:54: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::MINRES >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ linear-system.cpp:29:22: required from here 29 | return minres.solve(b); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::MINRES >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ linear-system.cpp:29:22: required from here 29 | return minres.solve(b); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/MINRES.h:42:54: required from ‘void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = Eigen::SelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::IdentityPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ 42 | const RealScalar rhsNorm2(rhs.squaredNorm()); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/MINRES.h:256:29: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::MINRES >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ linear-system.cpp:29:22: required from here 29 | return minres.solve(b); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/MINRES.h:64:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::MINRES >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ linear-system.cpp:29:22: required from here 29 | return minres.solve(b); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::MINRES >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ linear-system.cpp:29:22: required from here 29 | return minres.solve(b); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::MINRES >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ linear-system.cpp:29:22: required from here 29 | return minres.solve(b); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::MINRES >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ linear-system.cpp:29:22: required from here 29 | return minres.solve(b); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:337: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = const Eigen::Ref, 0, Eigen::OuterStride<> >; int LhsMode = 17; Rhs = Eigen::Matrix; Scalar = double]’ 227 | internal::selfadjoint_matrix_vector_product::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::SelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix; int ProductTag = 7; Scalar = double]’ 805 | selfadjoint_product_impl::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::SelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::SelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ 357 | { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::SelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, 0>]’ 178 | generic_product_impl::subTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::MINRES >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ linear-system.cpp:29:22: required from here 29 | return minres.solve(b); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 62 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 63 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:166: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68: required from ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’ 89 | Index alignedStart = (starti) + internal::first_default_aligned(&res[starti], endi-starti); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = const Eigen::Ref, 0, Eigen::OuterStride<> >; int LhsMode = 17; Rhs = Eigen::Matrix; Scalar = double]’ 227 | internal::selfadjoint_matrix_vector_product::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::SelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix; int ProductTag = 7; Scalar = double]’ 805 | selfadjoint_product_impl::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::SelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::SelfAdjointView, 0, Eigen::OuterStride<> >, 1>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1>, Eigen::Matrix, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ 357 | { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::MINRES >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ linear-system.cpp:29:22: required from here 29 | return minres.solve(b); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In function ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = const Eigen::Ref, 0, Eigen::OuterStride<> >; int LhsMode = 17; Rhs = Eigen::Matrix]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized] 227 | internal::selfadjoint_matrix_vector_product::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:41:6: note: by argument 4 of type ‘const double*’ to ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’ declared here 41 | void selfadjoint_matrix_vector_product::run( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DARMA_DONT_PRINT_OPENMP_WARNING -DARMA_DONT_PRINT_CXX11_WARNING -fpic -g -O2 -Wall -pedantic -mtune=native -c ogk.cpp -o ogk.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DARMA_DONT_PRINT_OPENMP_WARNING -DARMA_DONT_PRINT_CXX11_WARNING -fpic -g -O2 -Wall -pedantic -mtune=native -c rollmean.cpp -o rollmean.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DARMA_DONT_PRINT_OPENMP_WARNING -DARMA_DONT_PRINT_CXX11_WARNING -fpic -g -O2 -Wall -pedantic -mtune=native -c rowSumsSq.cpp -o rowSumsSq.o g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o bigutilsr.so RcppExports.o glasso.o linear-system.o ogk.o rollmean.o rowSumsSq.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpBQIHVF/R.INSTALL3402677cec1c42/bigutilsr/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-bigutilsr/00new/bigutilsr/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (bigutilsr) begin installing package ‘easyVerification’ * installing *source* package ‘BAT’ ... ** this is package ‘BAT’ version ‘2.11.0’ ** package ‘BAT’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (BAT) begin installing package ‘CoordinateCleaner’ * installing *source* package ‘galah’ ... ** this is package ‘galah’ version ‘2.1.2’ ** package ‘galah’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (galah) * installing *source* package ‘sparseinv’ ... ** this is package ‘sparseinv’ version ‘0.1.3’ ** package ‘sparseinv’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-15 (Debian 15.2.0-12) 15.2.0’ using C++ compiler: ‘g++-15 (Debian 15.2.0-12) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpjJwPIT/R.INSTALL3425e4373573b1/sparseinv/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c amd_1.c -o amd_1.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c amd_2.c -o amd_2.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c amd_aat.c -o amd_aat.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c amd_control.c -o amd_control.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c amd_defaults.c -o amd_defaults.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c amd_dump.c -o amd_dump.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c amd_global.c -o amd_global.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c amd_info.c -o amd_info.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c amd_order.c -o amd_order.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c amd_order_wrapper.c -o amd_order_wrapper.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c amd_post_tree.c -o amd_post_tree.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c amd_postorder.c -o amd_postorder.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c amd_preprocess.c -o amd_preprocess.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c amd_valid.c -o amd_valid.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c sparseinv-init.c -o sparseinv-init.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c sparseinvRcpp.cpp -o sparseinvRcpp.o g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o sparseinv.so RcppExports.o amd_1.o amd_2.o amd_aat.o amd_control.o amd_defaults.o amd_dump.o amd_global.o amd_info.o amd_order.o amd_order_wrapper.o amd_post_tree.o amd_postorder.o amd_preprocess.o amd_valid.o sparseinv-init.o sparseinvRcpp.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpjJwPIT/R.INSTALL3425e4373573b1/sparseinv/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-sparseinv/00new/sparseinv/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (sparseinv) * installing *source* package ‘texmex’ ... ** this is package ‘texmex’ version ‘2.4.9’ ** package ‘texmex’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-15 (Debian 15.2.0-12) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpJQNH6F/R.INSTALL341d564c10266a/texmex/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gpd.cpp -o gpd.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c special_functions.cpp -o special_functions.o g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o texmex.so RcppExports.o gpd.o special_functions.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpJQNH6F/R.INSTALL341d564c10266a/texmex/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-texmex/00new/texmex/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (texmex) * installing *source* package ‘rangeBuilder’ ... ** this is package ‘rangeBuilder’ version ‘2.2’ ** package ‘rangeBuilder’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-15 (Debian 15.2.0-12) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpiaP2pV/R.INSTALL342931392e8995/rangeBuilder/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rangeBuilderRcpp.cpp -o rangeBuilderRcpp.o g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o rangeBuilder.so RcppExports.o rangeBuilderRcpp.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpiaP2pV/R.INSTALL342931392e8995/rangeBuilder/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-rangeBuilder/00new/rangeBuilder/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rangeBuilder) * installing *source* package ‘nhdplusTools’ ... ** this is package ‘nhdplusTools’ version ‘1.4.1’ ** package ‘nhdplusTools’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (nhdplusTools) * installing *source* package ‘LEA’ ... ** this is package ‘LEA’ version ‘3.22.0’ ** package ‘LEA’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-15 (Debian 15.2.0-12) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpmF1yWu/R.INSTALL3424cd10055862/LEA/src' gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_LFMM.c -o R_LFMM.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_crossEntropy.c -o R_crossEntropy.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_createDataSet.c -o R_createDataSet.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_sNMF.c -o R_sNMF.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_ancestrymap2geno.c -o R_ancestrymap2geno.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_ancestrymap2lfmm.c -o R_ancestrymap2lfmm.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_geno2lfmm.c -o R_geno2lfmm.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_lfmm2geno.c -o R_lfmm2geno.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_pca.c -o R_pca.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_ped2geno.c -o R_ped2geno.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_ped2lfmm.c -o R_ped2lfmm.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_vcf2geno.c -o R_vcf2geno.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_tracyWidom.c -o R_tracyWidom.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_init_LEA.c -o R_init_LEA.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c bituint/bituint.c -o bituint/bituint.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c bituint/calc_bituint.c -o bituint/calc_bituint.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c bituint/io_geno_bituint.c -o bituint/io_geno_bituint.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c bituint/slice_bituint.c -o bituint/slice_bituint.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c bituint/thread_bituint.c -o bituint/thread_bituint.o bituint/thread_bituint.c: In function ‘thread_fct_bituint’: bituint/thread_bituint.c:61:40: warning: ISO C forbids conversion of function pointer to object pointer type [-Wpedantic] 61 | (&thread[i], NULL, (void *)fct, (void *)Ma[i])) { | ^ bituint/thread_bituint.c:61:40: warning: ISO C forbids passing argument 3 of ‘pthread_create’ between function pointer and ‘void *’ [-Wpedantic] 61 | (&thread[i], NULL, (void *)fct, (void *)Ma[i])) { | ^~~~~~~~~~~ In file included from bituint/thread_bituint.c:22: /usr/include/pthread.h:204:36: note: expected ‘void * (*)(void *)’ but argument is of type ‘void *’ 204 | void *(*__start_routine) (void *), | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c convert/ancestrymap.c -o convert/ancestrymap.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c convert/geno.c -o convert/geno.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c convert/ped.c -o convert/ped.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c convert/vcf2geno.c -o convert/vcf2geno.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c convert/geno2lfmm.c -o convert/geno2lfmm.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c convert/lfmm2geno.c -o convert/lfmm2geno.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c convert/register_convert.c -o convert/register_convert.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c createDataSet/createDataSet.c -o createDataSet/createDataSet.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c createDataSet/error_cds.c -o createDataSet/error_cds.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c createDataSet/print_cds.c -o createDataSet/print_cds.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c createDataSet/register_cds.c -o createDataSet/register_cds.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c crossEntropy/crossEntropy.c -o crossEntropy/crossEntropy.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c crossEntropy/error_ce.c -o crossEntropy/error_ce.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c crossEntropy/print_ce.c -o crossEntropy/print_ce.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c crossEntropy/register_ce.c -o crossEntropy/register_ce.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c io/io_data_double.c -o io/io_data_double.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c io/io_data_float.c -o io/io_data_float.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c io/io_data_int.c -o io/io_data_int.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c io/io_error.c -o io/io_error.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c io/io_tools.c -o io/io_tools.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c io/print_bar.c -o io/print_bar.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c LFMM/beta.c -o LFMM/beta.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c LFMM/error_lfmm.c -o LFMM/error_lfmm.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c LFMM/lfmm_k0.c -o LFMM/lfmm_k0.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c LFMM/slice_lfmm.c -o LFMM/slice_lfmm.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c LFMM/U.c -o LFMM/U.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c LFMM/beta_k0.c -o LFMM/beta_k0.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c LFMM/lfmm_algo.c -o LFMM/lfmm_algo.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c LFMM/print_lfmm.c -o LFMM/print_lfmm.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c LFMM/thread_lfmm.c -o LFMM/thread_lfmm.o LFMM/thread_lfmm.c: In function ‘thread_fct_lfmm’: LFMM/thread_lfmm.c:69:40: warning: ISO C forbids conversion of function pointer to object pointer type [-Wpedantic] 69 | (&thread[i], NULL, (void *)fct, (void *)Ma[i])) { | ^ LFMM/thread_lfmm.c:69:40: warning: ISO C forbids passing argument 3 of ‘pthread_create’ between function pointer and ‘void *’ [-Wpedantic] 69 | (&thread[i], NULL, (void *)fct, (void *)Ma[i])) { | ^~~~~~~~~~~ In file included from LFMM/thread_lfmm.c:22: /usr/include/pthread.h:204:36: note: expected ‘void * (*)(void *)’ but argument is of type ‘void *’ 204 | void *(*__start_routine) (void *), | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c LFMM/V.c -o LFMM/V.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c LFMM/data_lfmm.c -o LFMM/data_lfmm.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c LFMM/LFMM.c -o LFMM/LFMM.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c LFMM/register_lfmm.c -o LFMM/register_lfmm.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c LFMM/thread_var.c -o LFMM/thread_var.o LFMM/thread_var.c: In function ‘thrd_var’: LFMM/thread_var.c:67:40: warning: ISO C forbids conversion of function pointer to object pointer type [-Wpedantic] 67 | (&thread[i], NULL, (void *)fct, (void *)Ma[i])) { | ^ LFMM/thread_var.c:67:40: warning: ISO C forbids passing argument 3 of ‘pthread_create’ between function pointer and ‘void *’ [-Wpedantic] 67 | (&thread[i], NULL, (void *)fct, (void *)Ma[i])) { | ^~~~~~~~~~~ In file included from LFMM/thread_var.c:22: /usr/include/pthread.h:204:36: note: expected ‘void * (*)(void *)’ but argument is of type ‘void *’ 204 | void *(*__start_routine) (void *), | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c matrix/cholesky.c -o matrix/cholesky.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c matrix/error_matrix.c -o matrix/error_matrix.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c matrix/normalize.c -o matrix/normalize.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c matrix/slice_matrix.c -o matrix/slice_matrix.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c matrix/data.c -o matrix/data.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c matrix/inverse.c -o matrix/inverse.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c matrix/rand.c -o matrix/rand.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c matrix/sylvester.c -o matrix/sylvester.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c matrix/diagonalize.c -o matrix/diagonalize.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c matrix/matrix.c -o matrix/matrix.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c matrix/random_projection.c -o matrix/random_projection.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c matrix/thread_matrix.c -o matrix/thread_matrix.o matrix/thread_matrix.c: In function ‘thread_fct_matrix’: matrix/thread_matrix.c:60:40: warning: ISO C forbids conversion of function pointer to object pointer type [-Wpedantic] 60 | (&thread[i], NULL, (void *)fct, (void *)Ma[i])) { | ^ matrix/thread_matrix.c:60:40: warning: ISO C forbids passing argument 3 of ‘pthread_create’ between function pointer and ‘void *’ [-Wpedantic] 60 | (&thread[i], NULL, (void *)fct, (void *)Ma[i])) { | ^~~~~~~~~~~ In file included from matrix/thread_matrix.c:22: /usr/include/pthread.h:204:36: note: expected ‘void * (*)(void *)’ but argument is of type ‘void *’ 204 | void *(*__start_routine) (void *), | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c nnlsm/blockpivot.c -o nnlsm/blockpivot.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c nnlsm/nnlsm.c -o nnlsm/nnlsm.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c nnlsm/solvenormaleqcomb.c -o nnlsm/solvenormaleqcomb.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c nnlsm/sort.c -o nnlsm/sort.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c pca/calc_cov.c -o pca/calc_cov.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c pca/error_pca.c -o pca/error_pca.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c pca/pca.c -o pca/pca.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c pca/print_pca.c -o pca/print_pca.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c pca/register_pca.c -o pca/register_pca.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c sNMF/als.c -o sNMF/als.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c sNMF/als_k1.c -o sNMF/als_k1.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c sNMF/criteria.c -o sNMF/criteria.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c sNMF/print_snmf.c -o sNMF/print_snmf.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c sNMF/sNMF.c -o sNMF/sNMF.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c sNMF/thread_Q.c -o sNMF/thread_Q.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c sNMF/als_F.c -o sNMF/als_F.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c sNMF/als_Q.c -o sNMF/als_Q.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c sNMF/error_snmf.c -o sNMF/error_snmf.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c sNMF/register_snmf.c -o sNMF/register_snmf.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c sNMF/thread_F.c -o sNMF/thread_F.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c sNMF/thread_snmf.c -o sNMF/thread_snmf.o sNMF/thread_snmf.c: In function ‘thread_fct_snmf’: sNMF/thread_snmf.c:60:40: warning: ISO C forbids conversion of function pointer to object pointer type [-Wpedantic] 60 | (&thread[i], NULL, (void *)fct, (void *)Ma[i])) { | ^ sNMF/thread_snmf.c:60:40: warning: ISO C forbids passing argument 3 of ‘pthread_create’ between function pointer and ‘void *’ [-Wpedantic] 60 | (&thread[i], NULL, (void *)fct, (void *)Ma[i])) { | ^~~~~~~~~~~ In file included from sNMF/thread_snmf.c:22: /usr/include/pthread.h:204:36: note: expected ‘void * (*)(void *)’ but argument is of type ‘void *’ 204 | void *(*__start_routine) (void *), | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c stats/beta_distribution.c -o stats/beta_distribution.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c stats/gamma_density.c -o stats/gamma_density.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c stats/ln_beta_function.c -o stats/ln_beta_function.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c stats/beta_function.c -o stats/beta_function.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c stats/gamma_distribution.c -o stats/gamma_distribution.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c stats/ln_gamma_function.c -o stats/ln_gamma_function.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c stats/entire_incomplete_gamma_function.c -o stats/entire_incomplete_gamma_function.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c stats/gamma_dist_tables.c -o stats/gamma_dist_tables.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c stats/student_t_distribution.c -o stats/student_t_distribution.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c stats/factorial.c -o stats/factorial.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c stats/gamma_function.c -o stats/gamma_function.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c tracyWidom/error_tracyWidom.c -o tracyWidom/error_tracyWidom.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c tracyWidom/register_tracyWidom.c -o tracyWidom/register_tracyWidom.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c tracyWidom/print_tracyWidom.c -o tracyWidom/print_tracyWidom.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c tracyWidom/tracyWidom.c -o tracyWidom/tracyWidom.o gcc-15 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o LEA.so R_LFMM.o R_crossEntropy.o R_createDataSet.o R_sNMF.o R_ancestrymap2geno.o R_ancestrymap2lfmm.o R_geno2lfmm.o R_lfmm2geno.o R_pca.o R_ped2geno.o R_ped2lfmm.o R_vcf2geno.o R_tracyWidom.o R_init_LEA.o bituint/bituint.o bituint/calc_bituint.o bituint/io_geno_bituint.o bituint/slice_bituint.o bituint/thread_bituint.o convert/ancestrymap.o convert/geno.o convert/ped.o convert/vcf2geno.o convert/geno2lfmm.o convert/lfmm2geno.o convert/register_convert.o createDataSet/createDataSet.o createDataSet/error_cds.o createDataSet/print_cds.o createDataSet/register_cds.o crossEntropy/crossEntropy.o crossEntropy/error_ce.o crossEntropy/print_ce.o crossEntropy/register_ce.o io/io_data_double.o io/io_data_float.o io/io_data_int.o io/io_error.o io/io_tools.o io/print_bar.o LFMM/beta.o LFMM/error_lfmm.o LFMM/lfmm_k0.o LFMM/slice_lfmm.o LFMM/U.o LFMM/beta_k0.o LFMM/lfmm_algo.o LFMM/print_lfmm.o LFMM/thread_lfmm.o LFMM/V.o LFMM/data_lfmm.o LFMM/LFMM.o LFMM/register_lfmm.o LFMM/thread_var.o matrix/cholesky.o matrix/error_matrix.o matrix/normalize.o matrix/slice_matrix.o matrix/data.o matrix/inverse.o matrix/rand.o matrix/sylvester.o matrix/diagonalize.o matrix/matrix.o matrix/random_projection.o matrix/thread_matrix.o nnlsm/blockpivot.o nnlsm/nnlsm.o nnlsm/solvenormaleqcomb.o nnlsm/sort.o pca/calc_cov.o pca/error_pca.o pca/pca.o pca/print_pca.o pca/register_pca.o sNMF/als.o sNMF/als_k1.o sNMF/criteria.o sNMF/print_snmf.o sNMF/sNMF.o sNMF/thread_Q.o sNMF/als_F.o sNMF/als_Q.o sNMF/error_snmf.o sNMF/register_snmf.o sNMF/thread_F.o sNMF/thread_snmf.o stats/beta_distribution.o stats/gamma_density.o stats/ln_beta_function.o stats/beta_function.o stats/gamma_distribution.o stats/ln_gamma_function.o stats/entire_incomplete_gamma_function.o stats/gamma_dist_tables.o stats/student_t_distribution.o stats/factorial.o stats/gamma_function.o tracyWidom/error_tracyWidom.o tracyWidom/register_tracyWidom.o tracyWidom/print_tracyWidom.o tracyWidom/tracyWidom.o -llapack -L/home/hornik/tmp/R/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpmF1yWu/R.INSTALL3424cd10055862/LEA/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-LEA/00new/LEA/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (LEA) * installing *source* package ‘detectRUNS’ ... ** this is package ‘detectRUNS’ version ‘0.9.6’ ** package ‘detectRUNS’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-15 (Debian 15.2.0-12) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp4Ln6kr/R.INSTALL34248e4c3183a2/detectRUNS/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c functions.cpp -o functions.o g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o detectRUNS.so RcppExports.o functions.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp4Ln6kr/R.INSTALL34248e4c3183a2/detectRUNS/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-detectRUNS/00new/detectRUNS/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (detectRUNS) * installing *source* package ‘INLAtools’ ... ** this is package ‘INLAtools’ version ‘0.0.7’ ** package ‘INLAtools’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-15 (Debian 15.2.0-12) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp7HVL4N/R.INSTALL342b1767342cb/INLAtools/src' gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c INLAtools_init.c -o INLAtools_init.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c cgeneric_generic0.c -o cgeneric_generic0.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c cgeneric_get.c -o cgeneric_get.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c cgeneric_kronecker.c -o cgeneric_kronecker.o gcc-15 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o INLAtools.so INLAtools_init.o cgeneric_generic0.o cgeneric_get.o cgeneric_kronecker.o -llapack -L/home/hornik/tmp/R/lib -lRblas -lgfortran -lm -lquadmath -lm -ldl -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp7HVL4N/R.INSTALL342b1767342cb/INLAtools/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-INLAtools/00new/INLAtools/libs ** R ** demo ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (INLAtools) * installing *source* package ‘bioRad’ ... ** this is package ‘bioRad’ version ‘0.11.0’ ** package ‘bioRad’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (bioRad) * installing *source* package ‘cmsafops’ ... ** this is package ‘cmsafops’ version ‘1.4.3’ ** package ‘cmsafops’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (cmsafops) * installing *source* package ‘palaeoverse’ ... ** this is package ‘palaeoverse’ version ‘1.4.0’ ** package ‘palaeoverse’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (palaeoverse) * installing *source* package ‘bigsparser’ ... ** this is package ‘bigsparser’ version ‘0.7.3’ ** package ‘bigsparser’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-15 (Debian 15.2.0-12) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmprBuUF2/R.INSTALL34024e7a679b5c/bigsparser/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I../inst/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/rmio/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/InputParameter.h:77:11: required from ‘class Rcpp::ConstReferenceInputParameter >’ 77 | T obj ; | ^~~ RcppExports.cpp:185:74: required from here 185 | Rcpp::traits::input_parameter< const Eigen::VectorXd& >::type b(bSEXP); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/InputParameter.h:77:11: required from ‘class Rcpp::ConstReferenceInputParameter >’ 77 | T obj ; | ^~~ RcppExports.cpp:185:74: required from here 185 | Rcpp::traits::input_parameter< const Eigen::VectorXd& >::type b(bSEXP); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I../inst/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/rmio/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c SFBM-xptr.cpp -o SFBM-xptr.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I../inst/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/rmio/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c dense-accessor.cpp -o dense-accessor.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I../inst/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/rmio/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c diag.cpp -o diag.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I../inst/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/rmio/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c prod.cpp -o prod.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I../inst/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/rmio/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c solve.cpp -o solve.o In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from ../inst/include/bigsparser/EigenMatrixReplacement.h:15, from solve.cpp:3: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/include/bigsparser/EigenMatrixReplacement.h:66:25: required from here 66 | const Eigen::VectorXd add_to_diag; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/include/bigsparser/EigenMatrixReplacement.h:66:25: required from here 66 | const Eigen::VectorXd add_to_diag; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../inst/include/bigsparser/EigenMatrixReplacement.h:56:50: required from here 56 | sfbm(sfbm), add_to_diag(Eigen::VectorXd::Zero(sfbm->ncol())) {} | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ solve.cpp:27:35: required from here 27 | Eigen::VectorXd x = solver.solve(b); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/MINRES.h:59:37: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::MINRES; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ solve.cpp:27:35: required from here 27 | Eigen::VectorXd x = solver.solve(b); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, 2> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, 2> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, 2> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, 2>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, 2> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/MINRES.h:59:33: required from ‘void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = MatrixReplacement; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::IdentityPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ 59 | VectorType v_new(rhs-mat*x); //initialize v_new | ~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/MINRES.h:256:29: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::MINRES; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ solve.cpp:27:35: required from here 27 | Eigen::VectorXd x = solver.solve(b); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::MINRES; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ solve.cpp:27:35: required from here 27 | Eigen::VectorXd x = solver.solve(b); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/MINRES.h:97:47: required from ‘void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = MatrixReplacement; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::IdentityPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ 97 | v_new.noalias() = mat*w - beta*v_old; // compute v_new | ~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/MINRES.h:256:29: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::MINRES; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ solve.cpp:27:35: required from here 27 | Eigen::VectorXd x = solver.solve(b); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, 2>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, 2>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, 2>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, 2>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, 2>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/MINRES.h:97:41: required from ‘void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = MatrixReplacement; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::IdentityPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ 97 | v_new.noalias() = mat*w - beta*v_old; // compute v_new | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/MINRES.h:256:29: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::MINRES; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ solve.cpp:27:35: required from here 27 | Eigen::VectorXd x = solver.solve(b); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/MINRES.h:118:31: required from ‘void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = MatrixReplacement; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::IdentityPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ 118 | p.noalias()=(w-r2*p_old-r3*p_oold) /r1; // IS NOALIAS REQUIRED? | ~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/MINRES.h:256:29: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::MINRES; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ solve.cpp:27:35: required from here 27 | Eigen::VectorXd x = solver.solve(b); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/MINRES.h:118:40: required from ‘void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = MatrixReplacement; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::IdentityPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ 118 | p.noalias()=(w-r2*p_old-r3*p_oold) /r1; // IS NOALIAS REQUIRED? | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/MINRES.h:256:29: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::MINRES; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ solve.cpp:27:35: required from here 27 | Eigen::VectorXd x = solver.solve(b); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/MINRES.h:118:52: required from ‘void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = MatrixReplacement; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::IdentityPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ 118 | p.noalias()=(w-r2*p_old-r3*p_oold) /r1; // IS NOALIAS REQUIRED? | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/MINRES.h:256:29: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::MINRES; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ solve.cpp:27:35: required from here 27 | Eigen::VectorXd x = solver.solve(b); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/MINRES.h:42:54: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::MINRES; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ solve.cpp:27:35: required from here 27 | Eigen::VectorXd x = solver.solve(b); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::MINRES; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ solve.cpp:27:35: required from here 27 | Eigen::VectorXd x = solver.solve(b); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/MINRES.h:42:54: required from ‘void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = MatrixReplacement; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Preconditioner = Eigen::IdentityPreconditioner; Eigen::Index = long int; typename Dest::RealScalar = double]’ 42 | const RealScalar rhsNorm2(rhs.squaredNorm()); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/MINRES.h:256:29: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::MINRES; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ solve.cpp:27:35: required from here 27 | Eigen::VectorXd x = solver.solve(b); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/MINRES.h:64:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::MINRES; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ solve.cpp:27:35: required from here 27 | Eigen::VectorXd x = solver.solve(b); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::MINRES; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ solve.cpp:27:35: required from here 27 | Eigen::VectorXd x = solver.solve(b); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/bigsparser/EigenMatrixReplacement.h:93:33: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const MatrixReplacement&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 93 | (lhs.extra()).cwiseProduct(rhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::MINRES; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ solve.cpp:27:35: required from here 27 | Eigen::VectorXd x = solver.solve(b); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/bigsparser/EigenMatrixReplacement.h:92:66: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const MatrixReplacement&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 92 | dst.noalias() += (lhs.matrix())->cprod(rhs) + | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 93 | (lhs.extra()).cwiseProduct(rhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::MINRES; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ solve.cpp:27:35: required from here 27 | Eigen::VectorXd x = solver.solve(b); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I../inst/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/rmio/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c spmat-accessor.cpp -o spmat-accessor.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I../inst/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/rmio/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c write-indval.cpp -o write-indval.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I../inst/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/rmio/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c write-val-compact.cpp -o write-val-compact.o g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o bigsparser.so RcppExports.o SFBM-xptr.o dense-accessor.o diag.o prod.o solve.o spmat-accessor.o write-indval.o write-val-compact.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmprBuUF2/R.INSTALL34024e7a679b5c/bigsparser/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-bigsparser/00new/bigsparser/libs ** R ** inst ** byte-compile and prepare package for lazy loading Creating a generic function for ‘diag’ from package ‘base’ in package ‘bigsparser’ ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (bigsparser) begin installing package ‘bigsnpr’ * installing *source* package ‘deeptime’ ... ** this is package ‘deeptime’ version ‘2.3.1’ ** package ‘deeptime’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (deeptime) * installing *source* package ‘variancePartition’ ... ** this is package ‘variancePartition’ version ‘1.40.1’ ** package ‘variancePartition’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading in method for ‘calcVarPart’ with signature ‘"negbin"’: no definition for class “negbin” in method for ‘checkModelStatus’ with signature ‘"negbin"’: no definition for class “negbin” Creating a new generic function for ‘eBayes’ in package ‘variancePartition’ Creating a new generic function for ‘classifyTestsF’ in package ‘variancePartition’ Creating a new generic function for ‘topTable’ in package ‘variancePartition’ ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (variancePartition) * installing *source* package ‘easyVerification’ ... ** this is package ‘easyVerification’ version ‘0.4.5’ ** package ‘easyVerification’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-15 (Debian 15.2.0-12) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpmzdeQ5/R.INSTALL342d5b1939fa51/easyVerification/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c EnsRocaCpp.cpp -o EnsRocaCpp.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rankEnsCpp.cpp -o rankEnsCpp.o g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o easyVerification.so EnsRocaCpp.o RcppExports.o rankEnsCpp.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpmzdeQ5/R.INSTALL342d5b1939fa51/easyVerification/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-easyVerification/00new/easyVerification/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (easyVerification) begin installing package ‘s2dv’ * installing *source* package ‘runner’ ... ** this is package ‘runner’ version ‘0.4.5’ ** package ‘runner’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-15 (Debian 15.2.0-12) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpqsWqEh/R.INSTALL34214f5f0b24de/runner/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c fill_run.cpp -o fill_run.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c lag_run.cpp -o lag_run.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c length_run.cpp -o length_run.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c minmax_run.cpp -o minmax_run.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c runner.cpp -o runner.o g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o runner.so RcppExports.o fill_run.o lag_run.o length_run.o minmax_run.o runner.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpqsWqEh/R.INSTALL34214f5f0b24de/runner/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-runner/00new/runner/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (runner) * installing *source* package ‘muscle’ ... ** this is package ‘muscle’ version ‘3.52.0’ ** package ‘muscle’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-15 (Debian 15.2.0-12) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmpaz3LjK/R.INSTALL340286c8605cf/muscle/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c aligngivenpath.cpp -o aligngivenpath.o aligngivenpath.cpp: In function ‘void AppendTplInserts(const MSA&, unsigned int&, unsigned int, const MSA&, unsigned int&, unsigned int, unsigned int, unsigned int, MSA&, unsigned int&)’: aligngivenpath.cpp:186:24: warning: unused variable ‘uLengthA’ [-Wunused-variable] 186 | const unsigned uLengthA = msaA.GetColCount(); | ^~~~~~~~ aligngivenpath.cpp:187:24: warning: unused variable ‘uLengthB’ [-Wunused-variable] 187 | const unsigned uLengthB = msaB.GetColCount(); | ^~~~~~~~ aligngivenpath.cpp: In function ‘void AlignTwoMSAsGivenPath(const PWPath&, const MSA&, const MSA&, MSA&)’: aligngivenpath.cpp:335:40: warning: unused variable ‘uColA’ [-Wunused-variable] 335 | const unsigned uColA = uPrefixLengthA - 1; | ^~~~~ aligngivenpath.cpp:336:40: warning: unused variable ‘uColB’ [-Wunused-variable] 336 | const unsigned uColB = uPrefixLengthB - 1; | ^~~~~ aligngivenpath.cpp:346:40: warning: unused variable ‘uColA’ [-Wunused-variable] 346 | const unsigned uColA = uPrefixLengthA - 1; | ^~~~~ aligngivenpath.cpp:354:40: warning: unused variable ‘uColB’ [-Wunused-variable] 354 | const unsigned uColB = uPrefixLengthB - 1; | ^~~~~ In file included from muscle.h:34, from aligngivenpath.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c aligngivenpathsw.cpp -o aligngivenpathsw.o aligngivenpathsw.cpp: In function ‘void AppendUnalignedTerminals(const MSA&, unsigned int&, unsigned int, const MSA&, unsigned int&, unsigned int, unsigned int, unsigned int, MSA&, unsigned int&)’: aligngivenpathsw.cpp:58:24: warning: unused variable ‘uLengthA’ [-Wunused-variable] 58 | const unsigned uLengthA = msaA.GetColCount(); | ^~~~~~~~ aligngivenpathsw.cpp:59:24: warning: unused variable ‘uLengthB’ [-Wunused-variable] 59 | const unsigned uLengthB = msaB.GetColCount(); | ^~~~~~~~ aligngivenpathsw.cpp: In function ‘void AlignTwoMSAsGivenPathSW(const PWPath&, const MSA&, const MSA&, MSA&)’: aligngivenpathsw.cpp:204:40: warning: unused variable ‘uColA’ [-Wunused-variable] 204 | const unsigned uColA = uPrefixLengthA - 1; | ^~~~~ aligngivenpathsw.cpp:205:40: warning: unused variable ‘uColB’ [-Wunused-variable] 205 | const unsigned uColB = uPrefixLengthB - 1; | ^~~~~ aligngivenpathsw.cpp:215:40: warning: unused variable ‘uColA’ [-Wunused-variable] 215 | const unsigned uColA = uPrefixLengthA - 1; | ^~~~~ aligngivenpathsw.cpp:223:40: warning: unused variable ‘uColB’ [-Wunused-variable] 223 | const unsigned uColB = uPrefixLengthB - 1; | ^~~~~ In file included from muscle.h:34, from aligngivenpathsw.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c aligntwomsas.cpp -o aligntwomsas.o In file included from muscle.h:34, from aligntwomsas.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c aligntwoprofs.cpp -o aligntwoprofs.o In file included from muscle.h:34, from aligntwoprofs.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c aln.cpp -o aln.o In file included from muscle.h:34, from aln.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c alpha.cpp -o alpha.o alpha.cpp: In function ‘unsigned int GetAlphaSize(ALPHA)’: alpha.cpp:84:16: warning: enumeration value ‘ALPHA_Undefined’ not handled in switch [-Wswitch] 84 | switch (Alpha) | ^ In file included from muscle.h:34, from alpha.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c anchors.cpp -o anchors.o anchors.cpp: In function ‘void MergeBestCols(const SCORE*, const unsigned int*, unsigned int, unsigned int, unsigned int*, unsigned int*)’: anchors.cpp:162:34: warning: unused variable ‘uWindowCenter’ [-Wunused-variable] 162 | unsigned uWindowCenter = uBestColIndex + uWindowLength/2; | ^~~~~~~~~~~~~ anchors.cpp: At global scope: anchors.cpp:105:13: warning: ‘void ListBestCols(const MSA&, const SCORE*, const SCORE*, unsigned int*, unsigned int)’ defined but not used [-Wunused-function] 105 | static void ListBestCols(const MSA &msa, const SCORE Score[], const SCORE SmoothScore[], | ^~~~~~~~~~~~ anchors.cpp:53:13: warning: ‘void FindBestColsGrade(const SCORE*, unsigned int, double, unsigned int*, unsigned int*)’ defined but not used [-Wunused-function] 53 | static void FindBestColsGrade(const SCORE Score[], unsigned uCount, | ^~~~~~~~~~~~~~~~~ In file included from muscle.h:34, from anchors.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c bittraceback.cpp -o bittraceback.o bittraceback.cpp: In function ‘void BitTraceBack(char**, unsigned int, unsigned int, char, PWPath&)’: bittraceback.cpp:146:14: warning: unused variable ‘Bits’ [-Wunused-variable] 146 | char Bits = TraceBack[uLengthA][uLengthB]; | ^~~~ bittraceback.cpp: At global scope: bittraceback.cpp:15:20: warning: ‘const char* BitsToStr(char)’ defined but not used [-Wunused-function] 15 | static const char *BitsToStr(char Bits) | ^~~~~~~~~ In file included from muscle.h:34, from bittraceback.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c blosum62.cpp -o blosum62.o In file included from muscle.h:34, from blosum62.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c blosumla.cpp -o blosumla.o blosumla.cpp:7:14: warning: ‘Blosum62LA’ defined but not used [-Wunused-variable] 7 | static float Blosum62LA[20][20] = | ^~~~~~~~~~ In file included from muscle.h:34, from blosumla.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c clust.cpp -o clust.o clust.cpp: In member function ‘void Clust::ChooseJoin(unsigned int*, unsigned int*, float*, float*)’: clust.cpp:167:16: warning: enumeration value ‘JOIN_Undefined’ not handled in switch [-Wswitch] 167 | switch (m_JoinStyle) | ^ clust.cpp: In member function ‘void Clust::ChooseJoinNearestNeighbor(unsigned int*, unsigned int*, float*, float*)’: clust.cpp:184:24: warning: unused variable ‘uClusterCount’ [-Wunused-variable] 184 | const unsigned uClusterCount = GetClusterCount(); | ^~~~~~~~~~~~~ clust.cpp: In member function ‘void Clust::ChooseJoinNeighborJoining(unsigned int*, unsigned int*, float*, float*)’: clust.cpp:204:24: warning: unused variable ‘uClusterCount’ [-Wunused-variable] 204 | const unsigned uClusterCount = GetClusterCount(); | ^~~~~~~~~~~~~ clust.cpp: In member function ‘float Clust::ComputeDist(unsigned int, unsigned int)’: clust.cpp:295:16: warning: enumeration value ‘LINKAGE_Undefined’ not handled in switch [-Wswitch] 295 | switch (m_CentroidStyle) | ^ clust.cpp: In member function ‘float Clust::ComputeDistMAFFT(unsigned int, unsigned int)’: clust.cpp:360:21: warning: unused variable ‘dDistLR’ [-Wunused-variable] 360 | const float dDistLR = GetDist(uLeftNodeIndex, uRightNodeIndex); | ^~~~~~~ clust.cpp: In member function ‘float Clust::ComputeMetric(unsigned int, unsigned int) const’: clust.cpp:611:16: warning: enumeration value ‘JOIN_Undefined’ not handled in switch [-Wswitch] 611 | switch (m_JoinStyle) | ^ In file included from muscle.h:34, from clust.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c cluster.cpp -o cluster.o cluster.cpp: In member function ‘void ClusterTree::Create(const DistFunc&)’: cluster.cpp:284:22: warning: variable ‘bFound’ set but not used [-Wunused-but-set-variable] 284 | bool bFound = false; | ^~~~~~ cluster.cpp:267:16: warning: unused variable ‘dMaxDist’ [-Wunused-variable] 267 | double dMaxDist = 0.0; | ^~~~~~~~ In file included from muscle.h:34, from cluster.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ cluster.cpp: In member function ‘void ClusterTree::Create(const DistFunc&)’: cluster.cpp:307:47: warning: ‘uIndexClosest1’ may be used uninitialized [-Wmaybe-uninitialized] 307 | ClusterNode &Child1 = m_Nodes[uIndexClosest1]; | ^~~~~~~~~~~~~~ cluster.cpp:282:26: note: ‘uIndexClosest1’ was declared here 282 | unsigned uIndexClosest1; | ^~~~~~~~~~~~~~ cluster.cpp:308:47: warning: ‘uIndexClosest2’ may be used uninitialized [-Wmaybe-uninitialized] 308 | ClusterNode &Child2 = m_Nodes[uIndexClosest2]; | ^~~~~~~~~~~~~~ cluster.cpp:283:26: note: ‘uIndexClosest2’ was declared here 283 | unsigned uIndexClosest2; | ^~~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c clwwt.cpp -o clwwt.o In file included from muscle.h:34, from clwwt.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c color.cpp -o color.o color.cpp:72:12: warning: ‘int BlosumScore(char, char)’ defined but not used [-Wunused-function] 72 | static int BlosumScore(char c1, char c2) | ^~~~~~~~~~~ In file included from muscle.h:34, from color.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c cons.cpp -o cons.o In file included from muscle.h:34, from cons.cpp:7: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c diaglist.cpp -o diaglist.o In file included from muscle.h:34, from diaglist.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ diaglist.cpp: In member function ‘void DiagList::FromPath(const PWPath&)’: diaglist.cpp:70:36: warning: ‘uStartPosA’ may be used uninitialized [-Wmaybe-uninitialized] 70 | Add(uStartPosA, uStartPosB, uLength); | ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ diaglist.cpp:51:18: note: ‘uStartPosA’ was declared here 51 | unsigned uStartPosA; | ^~~~~~~~~~ diaglist.cpp:70:36: warning: ‘uStartPosB’ may be used uninitialized [-Wmaybe-uninitialized] 70 | Add(uStartPosA, uStartPosB, uLength); | ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ diaglist.cpp:52:18: note: ‘uStartPosB’ was declared here 52 | unsigned uStartPosB; | ^~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c diffobjscore.cpp -o diffobjscore.o diffobjscore.cpp: In function ‘SCORE ScoreLetters(const MSA&, const unsigned int*, unsigned int)’: diffobjscore.cpp:76:24: warning: unused variable ‘uSeqCount’ [-Wunused-variable] 76 | const unsigned uSeqCount = msa.GetSeqCount(); | ^~~~~~~~~ diffobjscore.cpp:77:24: warning: unused variable ‘uColCount’ [-Wunused-variable] 77 | const unsigned uColCount = msa.GetColCount(); | ^~~~~~~~~ In file included from muscle.h:34, from diffobjscore.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c diffpaths.cpp -o diffpaths.o In file included from muscle.h:34, from diffpaths.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c difftrees.cpp -o difftrees.o difftrees.cpp: In function ‘void DiffTrees(const Tree&, const Tree&, Tree&, unsigned int*)’: difftrees.cpp:161:24: warning: unused variable ‘uLeafCount2’ [-Wunused-variable] 161 | const unsigned uLeafCount2 = Tree2.GetLeafCount(); | ^~~~~~~~~~~ In file included from muscle.h:34, from difftrees.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c difftreese.cpp -o difftreese.o In file included from muscle.h:34, from difftreese.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c distcalc.cpp -o distcalc.o In file included from muscle.h:34, from distcalc.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c distfunc.cpp -o distfunc.o In file included from muscle.h:34, from distfunc.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c distpwkimura.cpp -o distpwkimura.o In file included from muscle.h:34, from distpwkimura.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c domuscle.cpp -o domuscle.o In file included from muscle.h:34, from domuscle.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c dosp.cpp -o dosp.o In file included from muscle.h:34, from dosp.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c dpreglist.cpp -o dpreglist.o dpreglist.cpp: In function ‘void DiagListToDPRegionList(const DiagList&, DPRegionList&, unsigned int, unsigned int)’: dpreglist.cpp:82:40: warning: unused variable ‘uDiagLengthMinusCaps’ [-Wunused-variable] 82 | const unsigned uDiagLengthMinusCaps = uEndVertexA - uStartVertexA - 1; | ^~~~~~~~~~~~~~~~~~~~ In file included from muscle.h:34, from dpreglist.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c drawtree.cpp -o drawtree.o In file included from muscle.h:34, from drawtree.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c edgelist.cpp -o edgelist.o In file included from muscle.h:34, from edgelist.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c enumopts.cpp -o enumopts.o In file included from muscle.h:34, from enumopts.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c enumtostr.cpp -o enumtostr.o In file included from muscle.h:34, from enumtostr.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c estring.cpp -o estring.o estring.cpp:464:13: warning: ‘bool CanMultiplyEstrings(const short int*, const short int*)’ defined but not used [-Wunused-function] 464 | static bool CanMultiplyEstrings(const short es1[], const short es2[]) | ^~~~~~~~~~~~~~~~~~~ In file included from muscle.h:34, from estring.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ estring.cpp: In function ‘void EstringsToPath(const short int*, const short int*, PWPath&)’: estring.cpp:409:17: warning: ‘cType’ may be used uninitialized [-Wmaybe-uninitialized] 409 | switch (cType) | ^~~~~~ estring.cpp:377:22: note: ‘cType’ was declared here 377 | char cType; | ^~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c fasta.cpp -o fasta.o fasta.cpp: In member function ‘void MSA::FromFASTAFile(TextFile&)’: fasta.cpp:15:18: warning: unused variable ‘uSeqCount’ [-Wunused-variable] 15 | unsigned uSeqCount = 0; | ^~~~~~~~~ fasta.cpp:16:18: warning: unused variable ‘uColCount’ [-Wunused-variable] 16 | unsigned uColCount = uInsane; | ^~~~~~~~~ In file included from muscle.h:34, from fasta.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c fasta2.cpp -o fasta2.o In file included from muscle.h:34, from fasta2.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c fastclust.cpp -o fastclust.o In file included from muscle.h:34, from fastclust.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c fastdist.cpp -o fastdist.o In file included from muscle.h:34, from fastdist.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c fastdistjones.cpp -o fastdistjones.o In file included from muscle.h:34, from fastdistjones.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ fastdistjones.cpp: In function ‘void DistKmer20_3(const SeqVect&, DistFunc&)’: fastdistjones.cpp:158:18: warning: ‘void operator delete [](void*)’ called on pointer returned from a mismatched allocation function [-Wmismatched-new-delete] 158 | delete[] SeqList; | ^~~~~~~ fastdistjones.cpp:121:60: note: returned from ‘void* malloc(size_t)’ 121 | unsigned short *SeqList = (unsigned short *) malloc(uSeqListBytes); | ~~~~~~^~~~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c fastdistkbit.cpp -o fastdistkbit.o In file included from muscle.h:34, from fastdistkbit.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c fastdistkmer.cpp -o fastdistkmer.o fastdistkmer.cpp: In function ‘void FastDistKmer(const SeqVect&, DistFunc&)’: fastdistkmer.cpp:235:32: warning: unused variable ‘KD’ [-Wunused-variable] 235 | double KD = KimuraDist(EstimatedPctId); | ^~ In file included from muscle.h:34, from fastdistkmer.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c fastdistmafft.cpp -o fastdistmafft.o fastdistmafft.cpp: In function ‘void DistKmer6_6(const SeqVect&, DistFunc&)’: fastdistmafft.cpp:238:29: warning: unused variable ‘pName1’ [-Wunused-variable] 238 | const char *pName1 = s1.GetName(); | ^~~~~~ fastdistmafft.cpp: At global scope: fastdistmafft.cpp:104:13: warning: ‘void ListCount(const unsigned char*)’ defined but not used [-Wunused-function] 104 | static void ListCount(const unsigned char Count[]) | ^~~~~~~~~ In file included from muscle.h:34, from fastdistmafft.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c fastdistnuc.cpp -o fastdistnuc.o fastdistnuc.cpp: In function ‘void DistKmer4_6(const SeqVect&, DistFunc&)’: fastdistnuc.cpp:223:29: warning: unused variable ‘pName1’ [-Wunused-variable] 223 | const char *pName1 = s1.GetName(); | ^~~~~~ fastdistnuc.cpp: At global scope: fastdistnuc.cpp:85:13: warning: ‘void ListCount(const unsigned char*)’ defined but not used [-Wunused-function] 85 | static void ListCount(const unsigned char Count[]) | ^~~~~~~~~ fastdistnuc.cpp:33:17: warning: ‘uResidueGroupCount’ defined but not used [-Wunused-variable] 33 | static unsigned uResidueGroupCount = sizeof(ResidueGroup)/sizeof(ResidueGroup[0]); | ^~~~~~~~~~~~~~~~~~ In file included from muscle.h:34, from fastdistnuc.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c fastscorepath2.cpp -o fastscorepath2.o In file included from muscle.h:34, from fastscorepath2.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c finddiags.cpp -o finddiags.o finddiags.cpp:11:14: warning: ‘char* TupleToStr(int)’ defined but not used [-Wunused-function] 11 | static char *TupleToStr(int t) | ^~~~~~~~~~ In file included from muscle.h:34, from finddiags.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c finddiagsn.cpp -o finddiagsn.o finddiagsn.cpp: In function ‘char* TupleToStr(int)’: finddiagsn.cpp:16:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 16 | for (int i = 0; i < K; ++i) | ~~^~~ finddiagsn.cpp: At global scope: finddiagsn.cpp:12:14: warning: ‘char* TupleToStr(int)’ defined but not used [-Wunused-function] 12 | static char *TupleToStr(int t) | ^~~~~~~~~~ In file included from muscle.h:34, from finddiagsn.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c glbalign.cpp -o glbalign.o In file included from muscle.h:34, from glbalign.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c glbalign352.cpp -o glbalign352.o In file included from muscle.h:34, from glbalign352.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c glbaligndiag.cpp -o glbaligndiag.o In file included from muscle.h:34, from glbaligndiag.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c glbalignla.cpp -o glbalignla.o In file included from muscle.h:34, from glbalignla.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ glbalignla.cpp: In function ‘SCORE GlobalAlignLA(const ProfPos*, unsigned int, const ProfPos*, unsigned int, PWPath&)’: glbalignla.cpp:363:52: warning: ‘uInsertPos’ may be used uninitialized [-Wmaybe-uninitialized] 363 | *ptrTraceBack_ij = (int) uInsertPos - (int) j; | ^~~~~~~~~~~~~~~~ glbalignla.cpp:330:26: note: ‘uInsertPos’ was declared here 330 | unsigned uInsertPos; | ^~~~~~~~~~ glbalignla.cpp:424:30: warning: ‘uInsertPos’ may be used uninitialized [-Wmaybe-uninitialized] 424 | iTraceBack = (int) uInsertPos - (int) uLengthB; | ^~~~~~~~~~~~~~~~ glbalignla.cpp:397:18: note: ‘uInsertPos’ was declared here 397 | unsigned uInsertPos; | ^~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c glbalignle.cpp -o glbalignle.o In file included from muscle.h:34, from glbalignle.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ glbalignle.cpp: In function ‘SCORE GlobalAlignLE(const ProfPos*, unsigned int, const ProfPos*, unsigned int, PWPath&)’: glbalignle.cpp:427:30: warning: ‘uInsertPos’ may be used uninitialized [-Wmaybe-uninitialized] 427 | iTraceBack = (int) uInsertPos - (int) uLengthB; | ^~~~~~~~~~~~~~~~ glbalignle.cpp:400:18: note: ‘uInsertPos’ was declared here 400 | unsigned uInsertPos; | ^~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c glbalignns.cpp -o glbalignns.o In file included from muscle.h:34, from glbalignns.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ glbalignns.cpp: In function ‘SCORE GlobalAlignNS(const ProfPos*, unsigned int, const ProfPos*, unsigned int, PWPath&)’: glbalignns.cpp:305:52: warning: ‘uInsertPos’ may be used uninitialized [-Wmaybe-uninitialized] 305 | *ptrTraceBack_ij = (int) uInsertPos - (int) j; | ^~~~~~~~~~~~~~~~ glbalignns.cpp:272:26: note: ‘uInsertPos’ was declared here 272 | unsigned uInsertPos; | ^~~~~~~~~~ glbalignns.cpp:366:30: warning: ‘uInsertPos’ may be used uninitialized [-Wmaybe-uninitialized] 366 | iTraceBack = (int) uInsertPos - (int) uLengthB; | ^~~~~~~~~~~~~~~~ glbalignns.cpp:339:18: note: ‘uInsertPos’ was declared here 339 | unsigned uInsertPos; | ^~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c glbalignsimple.cpp -o glbalignsimple.o glbalignsimple.cpp:52:13: warning: ‘void ListDP(const SCORE*, const ProfPos*, const ProfPos*, unsigned int, unsigned int)’ defined but not used [-Wunused-function] 52 | static void ListDP(const SCORE *DPM_, const ProfPos *PA, const ProfPos *PB, | ^~~~~~ glbalignsimple.cpp:28:13: warning: ‘void ListTB(const char*, const ProfPos*, const ProfPos*, unsigned int, unsigned int)’ defined but not used [-Wunused-function] 28 | static void ListTB(const char *TBM_, const ProfPos *PA, const ProfPos *PB, | ^~~~~~ In file included from muscle.h:34, from glbalignsimple.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c glbalignsp.cpp -o glbalignsp.o In file included from muscle.h:34, from glbalignsp.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ glbalignsp.cpp: In function ‘SCORE GlobalAlignSP(const ProfPos*, unsigned int, const ProfPos*, unsigned int, PWPath&)’: glbalignsp.cpp:305:52: warning: ‘uInsertPos’ may be used uninitialized [-Wmaybe-uninitialized] 305 | *ptrTraceBack_ij = (int) uInsertPos - (int) j; | ^~~~~~~~~~~~~~~~ glbalignsp.cpp:272:26: note: ‘uInsertPos’ was declared here 272 | unsigned uInsertPos; | ^~~~~~~~~~ glbalignsp.cpp:366:30: warning: ‘uInsertPos’ may be used uninitialized [-Wmaybe-uninitialized] 366 | iTraceBack = (int) uInsertPos - (int) uLengthB; | ^~~~~~~~~~~~~~~~ glbalignsp.cpp:339:18: note: ‘uInsertPos’ was declared here 339 | unsigned uInsertPos; | ^~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c glbalignspn.cpp -o glbalignspn.o In file included from muscle.h:34, from glbalignspn.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ glbalignspn.cpp: In function ‘SCORE GlobalAlignSPN(const ProfPos*, unsigned int, const ProfPos*, unsigned int, PWPath&)’: glbalignspn.cpp:340:52: warning: ‘uInsertPos’ may be used uninitialized [-Wmaybe-uninitialized] 340 | *ptrTraceBack_ij = (int) uInsertPos - (int) j; | ^~~~~~~~~~~~~~~~ glbalignspn.cpp:307:26: note: ‘uInsertPos’ was declared here 307 | unsigned uInsertPos; | ^~~~~~~~~~ glbalignspn.cpp:401:30: warning: ‘uInsertPos’ may be used uninitialized [-Wmaybe-uninitialized] 401 | iTraceBack = (int) uInsertPos - (int) uLengthB; | ^~~~~~~~~~~~~~~~ glbalignspn.cpp:374:18: note: ‘uInsertPos’ was declared here 374 | unsigned uInsertPos; | ^~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c glbalignss.cpp -o glbalignss.o glbalignss.cpp: In function ‘SCORE GlobalAlignSS(const Seq&, const Seq&, PWPath&)’: glbalignss.cpp:177:30: warning: unused variable ‘ptrRowA’ [-Wunused-variable] 177 | const SCORE *ptrRowA = MxRowA[i]; | ^~~~~~~ glbalignss.cpp:119:24: warning: unused variable ‘uPrefixCountA’ [-Wunused-variable] 119 | const unsigned uPrefixCountA = uLengthA + 1; | ^~~~~~~~~~~~~ glbalignss.cpp:120:24: warning: unused variable ‘uPrefixCountB’ [-Wunused-variable] 120 | const unsigned uPrefixCountB = uLengthB + 1; | ^~~~~~~~~~~~~ glbalignss.cpp: At global scope: glbalignss.cpp:11:14: warning: ‘SCORE Subst(const Seq&, const Seq&, unsigned int, unsigned int)’ defined but not used [-Wunused-function] 11 | static SCORE Subst(const Seq &seqA, const Seq &seqB, unsigned i, unsigned j) | ^~~~~ In file included from muscle.h:34, from glbalignss.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ glbalignss.cpp: In function ‘SCORE GlobalAlignSS(const Seq&, const Seq&, PWPath&)’: glbalignss.cpp:252:52: warning: ‘uInsertPos’ may be used uninitialized [-Wmaybe-uninitialized] 252 | *ptrTraceBack_ij = (int) uInsertPos - (int) j; | ^~~~~~~~~~~~~~~~ glbalignss.cpp:221:26: note: ‘uInsertPos’ was declared here 221 | unsigned uInsertPos; | ^~~~~~~~~~ glbalignss.cpp:310:30: warning: ‘uInsertPos’ may be used uninitialized [-Wmaybe-uninitialized] 310 | iTraceBack = (int) uInsertPos - (int) uLengthB; | ^~~~~~~~~~~~~~~~ glbalignss.cpp:283:18: note: ‘uInsertPos’ was declared here 283 | unsigned uInsertPos; | ^~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c glbalndimer.cpp -o glbalndimer.o glbalndimer.cpp: In function ‘SCORE ScoreProfPosDimer(const ProfPos&, const ProfPos&)’: glbalndimer.cpp:123:16: warning: enumeration value ‘PPSCORE_Undefined’ not handled in switch [-Wswitch] 123 | switch (g_PPScore) | ^ glbalndimer.cpp:123:16: warning: enumeration value ‘PPSCORE_SPN’ not handled in switch [-Wswitch] glbalndimer.cpp: At global scope: glbalndimer.cpp:14:20: warning: ‘const char* LocalScoreToStr(SCORE)’ defined but not used [-Wunused-function] 14 | static const char *LocalScoreToStr(SCORE s) | ^~~~~~~~~~~~~~~ In file included from muscle.h:34, from glbalndimer.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c globals.cpp -o globals.o In file included from muscle.h:34, from globals.cpp:6: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c globalslinux.cpp -o globalslinux.o globalslinux.cpp: In function ‘double GetNAN()’: globalslinux.cpp:21:24: warning: dereferencing type-punned pointer will break strict-aliasing rules [-Wstrict-aliasing] 21 | double dNAN = *( double* )nan; | ^~~~~~~~~~~~~~ In file included from muscle.h:34, from globalslinux.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c globalsosx.cpp -o globalsosx.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c globalsother.cpp -o globalsother.o In file included from muscle.h:34, from globalsother.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c globalswin32.cpp -o globalswin32.o In file included from muscle.h:34, from globalswin32.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gonnet.cpp -o gonnet.o gonnet.cpp:137:14: warning: ‘Gonnet160’ defined but not used [-Wunused-variable] 137 | static SCORE Gonnet160[20][20] = | ^~~~~~~~~ In file included from muscle.h:34, from gonnet.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gotowt.cpp -o gotowt.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c henikoffweight.cpp -o henikoffweight.o In file included from muscle.h:34, from henikoffweight.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c henikoffweightpb.cpp -o henikoffweightpb.o In file included from muscle.h:34, from henikoffweightpb.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c html.cpp -o html.o In file included from muscle.h:34, from html.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c hydro.cpp -o hydro.o In file included from muscle.h:34, from hydro.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c intmath.cpp -o intmath.o In file included from muscle.h:34, from intmath.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c local.cpp -o local.o In file included from muscle.h:34, from local.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c main.cpp -o main.o In file included from muscle.h:34, from main.cpp:7: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c makerootmsa.cpp -o makerootmsa.o makerootmsa.cpp: In function ‘void PathSeq(const Seq&, const PWPath&, bool, Seq&)’: makerootmsa.cpp:18:24: warning: unused variable ‘uSeqLength’ [-Wunused-variable] 18 | const unsigned uSeqLength = s.Length(); | ^~~~~~~~~~ makerootmsa.cpp: In function ‘short int* MakeRootSeqE(const Seq&, const Tree&, unsigned int, const ProgNode*, Seq&, short int*, short int*)’: makerootmsa.cpp:94:31: warning: unused variable ‘Path’ [-Wunused-variable] 94 | const PWPath &Path = Nodes[uNodeIndex].m_Path; | ^~~~ makerootmsa.cpp: In function ‘void MakeRootMSA(const SeqVect&, const Tree&, ProgNode*, MSA&)’: makerootmsa.cpp:168:24: warning: unused variable ‘uTreeNodeCount’ [-Wunused-variable] 168 | const unsigned uTreeNodeCount = GuideTree.GetNodeCount(); | ^~~~~~~~~~~~~~ makerootmsa.cpp: At global scope: makerootmsa.cpp:12:13: warning: ‘void PathSeq(const Seq&, const PWPath&, bool, Seq&)’ defined but not used [-Wunused-function] 12 | static void PathSeq(const Seq &s, const PWPath &Path, bool bRight, Seq &sOut) | ^~~~~~~ In file included from muscle.h:34, from makerootmsa.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c makerootmsab.cpp -o makerootmsab.o In file included from muscle.h:34, from makerootmsab.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c maketree.cpp -o maketree.o In file included from muscle.h:34, from maketree.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c mhack.cpp -o mhack.o In file included from muscle.h:34, from mhack.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c mpam200.cpp -o mpam200.o In file included from muscle.h:34, from mpam200.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c msa.cpp -o msa.o msa.cpp:419:13: warning: ‘void FmtPad(unsigned int)’ defined but not used [-Wunused-function] 419 | static void FmtPad(unsigned n) | ^~~~~~ msa.cpp:407:13: warning: ‘void FmtInt0(unsigned int, unsigned int)’ defined but not used [-Wunused-function] 407 | static void FmtInt0(unsigned u, unsigned uWidth) | ^~~~~~~ msa.cpp:392:13: warning: ‘void FmtInt(unsigned int, unsigned int)’ defined but not used [-Wunused-function] 392 | static void FmtInt(unsigned u, unsigned uWidth) | ^~~~~~ msa.cpp:385:13: warning: ‘void FmtChar(char, unsigned int)’ defined but not used [-Wunused-function] 385 | static void FmtChar(char c, unsigned uWidth) | ^~~~~~~ In file included from muscle.h:34, from msa.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c msa2.cpp -o msa2.o msa2.cpp: In function ‘void SetMSAWeightsMuscle(MSA&)’: msa2.cpp:357:16: warning: enumeration value ‘SEQWEIGHT_Undefined’ not handled in switch [-Wswitch] 357 | switch (Method) | ^ msa2.cpp: In function ‘void MSAAppend(MSA&, const MSA&)’: msa2.cpp:476:24: warning: unused variable ‘uColCountCat’ [-Wunused-variable] 476 | const unsigned uColCountCat = uColCount1 + uColCount2; | ^~~~~~~~~~~~ In file included from muscle.h:34, from msa2.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c msadistkimura.cpp -o msadistkimura.o In file included from muscle.h:34, from msadistkimura.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c msf.cpp -o msf.o msf.cpp:24:20: warning: ‘const char* strfind(const char*, const char*)’ defined but not used [-Wunused-function] 24 | static const char *strfind(const char *s, const char *t) | ^~~~~~~ In file included from muscle.h:34, from msf.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c muscle.cpp -o muscle.o In file included from muscle.h:34, from muscle.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c muscleout.cpp -o muscleout.o In file included from muscle.h:34, from muscleout.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c nucmx.cpp -o nucmx.o In file included from muscle.h:34, from nucmx.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c nwdasimple.cpp -o nwdasimple.o In file included from muscle.h:34, from nwdasimple.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c nwdasimple2.cpp -o nwdasimple2.o In file included from muscle.h:34, from nwdasimple2.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c nwdasmall.cpp -o nwdasmall.o In file included from muscle.h:34, from nwdasmall.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c nwrec.cpp -o nwrec.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c nwsmall.cpp -o nwsmall.o In file included from muscle.h:34, from nwsmall.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c objscore.cpp -o objscore.o objscore.cpp: In function ‘SCORE ObjScore(const MSA&, const unsigned int*, unsigned int, const unsigned int*, unsigned int)’: objscore.cpp:31:16: warning: enumeration value ‘OBJSCORE_Undefined’ not handled in switch [-Wswitch] 31 | switch (OS) | ^ objscore.cpp:31:16: warning: enumeration value ‘OBJSCORE_SPM’ not handled in switch [-Wswitch] In file included from muscle.h:34, from objscore.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c objscore2.cpp -o objscore2.o objscore2.cpp: In function ‘SCORE TermGapScore(bool)’: objscore2.cpp:22:16: warning: enumeration value ‘TERMGAPS_Undefined’ not handled in switch [-Wswitch] 22 | switch (g_TermGaps) | ^ objscore2.cpp: In function ‘SCORE ScoreSeqPairLetters(const MSA&, unsigned int, const MSA&, unsigned int)’: objscore2.cpp:62:15: warning: unused variable ‘scoreGaps’ [-Wunused-variable] 62 | SCORE scoreGaps = 0; | ^~~~~~~~~ objscore2.cpp:63:14: warning: unused variable ‘bGapping1’ [-Wunused-variable] 63 | bool bGapping1 = false; | ^~~~~~~~~ objscore2.cpp:64:14: warning: unused variable ‘bGapping2’ [-Wunused-variable] 64 | bool bGapping2 = false; | ^~~~~~~~~ objscore2.cpp:67:14: warning: variable ‘bLeftTermGap’ set but not used [-Wunused-but-set-variable] 67 | bool bLeftTermGap = false; | ^~~~~~~~~~~~ objscore2.cpp:82:14: warning: variable ‘bRightTermGap’ set but not used [-Wunused-but-set-variable] 82 | bool bRightTermGap = false; | ^~~~~~~~~~~~~ objscore2.cpp: In function ‘SCORE ScoreSeqPairGaps(const MSA&, unsigned int, const MSA&, unsigned int)’: objscore2.cpp:140:14: warning: variable ‘bLeftTermGap’ set but not used [-Wunused-but-set-variable] 140 | bool bLeftTermGap = false; | ^~~~~~~~~~~~ objscore2.cpp:155:14: warning: variable ‘bRightTermGap’ set but not used [-Wunused-but-set-variable] 155 | bool bRightTermGap = false; | ^~~~~~~~~~~~~ objscore2.cpp: In function ‘SCORE ObjScoreDP(const MSA&, const MSA&, SCORE*)’: objscore2.cpp:314:24: warning: unused variable ‘uColCount2’ [-Wunused-variable] 314 | const unsigned uColCount2 = msa2.GetColCount(); | ^~~~~~~~~~ objscore2.cpp: In function ‘SCORE ObjScoreXP(const MSA&, const MSA&)’: objscore2.cpp:493:38: warning: unused variable ‘w’ [-Wunused-variable] 493 | const WEIGHT w = w1*w2; | ^ In file included from muscle.h:34, from objscore2.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c objscoreda.cpp -o objscoreda.o In file included from muscle.h:34, from objscoreda.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c onexception.cpp -o onexception.o In file included from muscle.h:34, from onexception.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c optionsR.cpp -o optionsR.o In file included from muscle.h:34, from optionsR.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c outweights.cpp -o outweights.o In file included from muscle.h:34, from outweights.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c pam200mafft.cpp -o pam200mafft.o pam200mafft.cpp:6:14: warning: ‘PAM200’ defined but not used [-Wunused-variable] 6 | static float PAM200[23][23] = | ^~~~~~ In file included from muscle.h:34, from pam200mafft.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c params.cpp -o params.o params.cpp: In function ‘void SetPPScore(bool)’: params.cpp:445:16: warning: enumeration value ‘PPSCORE_Undefined’ not handled in switch [-Wswitch] 445 | switch (g_PPScore) | ^ params.cpp: In function ‘void default_params()’: params.cpp:659:9: warning: statement has no effect [-Wunused-value] 659 | g_ptrScoreMatrix; | ^~~~~~~~~~~~~~~~ params.cpp:652:21: warning: unused variable ‘VTML_LA’ [-Wunused-variable] 652 | SCOREMATRIX VTML_LA; | ^~~~~~~ params.cpp:653:21: warning: unused variable ‘PAM200’ [-Wunused-variable] 653 | SCOREMATRIX PAM200; | ^~~~~~ params.cpp:654:21: warning: unused variable ‘PAM200NoCenter’ [-Wunused-variable] 654 | SCOREMATRIX PAM200NoCenter; | ^~~~~~~~~~~~~~ params.cpp:655:21: warning: unused variable ‘VTML_SP’ [-Wunused-variable] 655 | SCOREMATRIX VTML_SP; | ^~~~~~~ params.cpp:656:21: warning: unused variable ‘VTML_SPNoCenter’ [-Wunused-variable] 656 | SCOREMATRIX VTML_SPNoCenter; | ^~~~~~~~~~~~~~~ params.cpp:657:21: warning: unused variable ‘NUC_SP’ [-Wunused-variable] 657 | SCOREMATRIX NUC_SP; | ^~~~~~ In file included from muscle.h:34, from params.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c phy.cpp -o phy.o phy.cpp: In member function ‘void Tree::RootUnrootedTree(ROOT)’: phy.cpp:665:16: warning: unused variable ‘dEdgeLength’ [-Wunused-variable] 665 | double dEdgeLength = GetEdgeLength(uNode1, uNode2); | ^~~~~~~~~~~ In file included from muscle.h:34, from phy.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c phy2.cpp -o phy2.o In file included from muscle.h:34, from phy2.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c phy3.cpp -o phy3.o phy3.cpp: In function ‘void CalcInfo(const Tree&, unsigned int, unsigned int, EdgeInfo**)’: phy3.cpp:125:22: warning: unused variable ‘dThisDist’ [-Wunused-variable] 125 | const double dThisDist = tree.GetEdgeLength(uNode1, uNode2); | ^~~~~~~~~ phy3.cpp: In function ‘void FindRoot(const Tree&, unsigned int*, unsigned int*, double*, double*, ROOT)’: phy3.cpp:167:24: warning: unused variable ‘uLeafCount’ [-Wunused-variable] 167 | const unsigned uLeafCount = tree.GetLeafCount(); | ^~~~~~~~~~ phy3.cpp:190:16: warning: unused variable ‘dAllMaxDist’ [-Wunused-variable] 190 | double dAllMaxDist = -1e20; | ^~~~~~~~~~~ phy3.cpp:191:18: warning: unused variable ‘uMaxFrom’ [-Wunused-variable] 191 | unsigned uMaxFrom = NULL_NEIGHBOR; | ^~~~~~~~ phy3.cpp:192:18: warning: unused variable ‘uMaxTo’ [-Wunused-variable] 192 | unsigned uMaxTo = NULL_NEIGHBOR; | ^~~~~~ phy3.cpp: In function ‘void RootByMidLongestSpan(const Tree&, EdgeInfo**, unsigned int*, unsigned int*, double*, double*)’: phy3.cpp:263:18: warning: variable ‘uMostDistantLeaf’ set but not used [-Wunused-but-set-variable] 263 | unsigned uMostDistantLeaf = NULL_NEIGHBOR; | ^~~~~~~~~~~~~~~~ phy3.cpp: At global scope: phy3.cpp:45:13: warning: ‘void ListEIs(EdgeInfo**, unsigned int)’ defined but not used [-Wunused-function] 45 | static void ListEIs(EdgeInfo **EIs, unsigned uNodeCount) | ^~~~~~~ In file included from muscle.h:34, from phy3.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c phy4.cpp -o phy4.o In file included from muscle.h:34, from phy4.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c phyfromclust.cpp -o phyfromclust.o In file included from muscle.h:34, from phyfromclust.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c phyfromfile.cpp -o phyfromfile.o In file included from muscle.h:34, from phyfromfile.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c physeq.cpp -o physeq.o physeq.cpp: In member function ‘void MSA::ToPhySequentialFile(TextFile&) const’: physeq.cpp:60:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 60 | if (Col == ColCount) | ~~~~^~~~~~~~~~~ physeq.cpp:71:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 71 | if (Col == ColCount) | ~~~~^~~~~~~~~~~ physeq.cpp: In member function ‘void MSA::ToPhyInterleavedFile(TextFile&) const’: physeq.cpp:112:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 112 | if (Col == ColCount) | ~~~~^~~~~~~~~~~ physeq.cpp:124:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 124 | if (Col == ColCount) | ~~~~^~~~~~~~~~~ In file included from muscle.h:34, from physeq.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c phytofile.cpp -o phytofile.o In file included from muscle.h:34, from phytofile.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c posgap.cpp -o posgap.o In file included from muscle.h:34, from posgap.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c ppscore.cpp -o ppscore.o In file included from muscle.h:34, from ppscore.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c profdb.cpp -o profdb.o In file included from clustsetmsa.h:8, from profdb.cpp:9: msadist.h: In member function ‘double MSADist::ComputeDist(const MSA&, unsigned int, unsigned int)’: msadist.h:22:23: warning: enumeration value ‘DISTANCE_Undefined’ not handled in switch [-Wswitch] 22 | switch(m_Distance) | ^ msadist.h:22:23: warning: enumeration value ‘DISTANCE_Kmer6_6’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_Kmer20_3’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_Kmer20_4’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_Kbit20_3’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_Kmer4_6’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_PWKimura’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_PWScoreDist’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_ScoreDist’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_Edit’ not handled in switch [-Wswitch] In file included from muscle.h:34, from profdb.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c profile.cpp -o profile.o In file included from muscle.h:34, from profile.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c profilefrommsa.cpp -o profilefrommsa.o profilefrommsa.cpp: In function ‘void ListProfile(const ProfPos*, unsigned int, const MSA*)’: profilefrommsa.cpp:131:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 131 | if (-1 == PP.m_uResidueGroup) | ~~~^~~~~~~~~~~~~~~~~~~~~ profilefrommsa.cpp: In function ‘unsigned int ResidueGroupFromFCounts(const FCOUNT*)’: profilefrommsa.cpp:230:16: warning: enumeration value ‘ALPHA_Undefined’ not handled in switch [-Wswitch] 230 | switch (g_Alpha) | ^ profilefrommsa.cpp: In function ‘ProfPos* ProfileFromMSA(const MSA&)’: profilefrommsa.cpp:245:24: warning: unused variable ‘uSeqCount’ [-Wunused-variable] 245 | const unsigned uSeqCount = a.GetSeqCount(); | ^~~~~~~~~ profilefrommsa.cpp:253:18: warning: unused variable ‘uHydrophobicRunLength’ [-Wunused-variable] 253 | unsigned uHydrophobicRunLength = 0; | ^~~~~~~~~~~~~~~~~~~~~ profilefrommsa.cpp: At global scope: profilefrommsa.cpp:15:20: warning: ‘const char* LocalScoreToStr(SCORE)’ defined but not used [-Wunused-function] 15 | static const char *LocalScoreToStr(SCORE s) | ^~~~~~~~~~~~~~~ In file included from muscle.h:34, from profilefrommsa.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c progalign.cpp -o progalign.o progalign.cpp: In function ‘ProgNode* ProgressiveAlignE(const SeqVect&, const Tree&, MSA&)’: progalign.cpp:41:24: warning: unused variable ‘uIterCount’ [-Wunused-variable] 41 | const unsigned uIterCount = uSeqCount - 1; | ^~~~~~~~~~ In file included from muscle.h:34, from progalign.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c progress.cpp -o progress.o In file included from muscle.h:34, from progress.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c progressivealign.cpp -o progressivealign.o In file included from muscle.h:34, from progressivealign.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c pwpath.cpp -o pwpath.o pwpath.cpp: In member function ‘void PWPath::Validate() const’: pwpath.cpp:79:23: warning: unused variable ‘LastEdge’ [-Wunused-variable] 79 | const PWEdge &LastEdge = GetEdge(uEdgeCount - 1); | ^~~~~~~~ pwpath.cpp: In member function ‘void PWPath::FromFile(TextFile&)’: pwpath.cpp:212:18: warning: unused variable ‘uEdgeIndex’ [-Wunused-variable] 212 | unsigned uEdgeIndex = 0; | ^~~~~~~~~~ In file included from muscle.h:34, from pwpath.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c readmx.cpp -o readmx.o readmx.cpp: In function ‘float (* ReadMx(TextFile&))[32][32]’: readmx.cpp:83:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 83 | for (int i = 0; i < MAX_ALPHA; ++i) | ~~^~~~~~~~~~~ readmx.cpp:84:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 84 | for (int j = 0; j < MAX_ALPHA; ++j) | ~~^~~~~~~~~~~ readmx.cpp: At global scope: readmx.cpp:30:17: warning: ‘unsigned int MxCharToLetter(char)’ defined but not used [-Wunused-function] 30 | static unsigned MxCharToLetter(char c) | ^~~~~~~~~~~~~~ In file included from muscle.h:34, from readmx.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c realigndiffs.cpp -o realigndiffs.o In file included from muscle.h:34, from realigndiffs.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c realigndiffse.cpp -o realigndiffse.o realigndiffse.cpp: In function ‘void RealignDiffsE(const MSA&, const SeqVect&, const Tree&, const Tree&, const unsigned int*, MSA&, ProgNode*)’: realigndiffse.cpp:72:34: warning: unused variable ‘uNewRight’ [-Wunused-variable] 72 | unsigned uNewRight = NewTree.GetRight(uNewNodeIndex); | ^~~~~~~~~ realigndiffse.cpp:75:34: warning: unused variable ‘uOldRight’ [-Wunused-variable] 75 | unsigned uOldRight = OldTree.GetRight(uOld); | ^~~~~~~~~ In file included from muscle.h:34, from realigndiffse.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c redblack.cpp -o redblack.o In file included from muscle.h:34, from redblack.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c refine.cpp -o refine.o In file included from clustsetmsa.h:8, from refine.cpp:9: msadist.h: In member function ‘double MSADist::ComputeDist(const MSA&, unsigned int, unsigned int)’: msadist.h:22:23: warning: enumeration value ‘DISTANCE_Undefined’ not handled in switch [-Wswitch] 22 | switch(m_Distance) | ^ msadist.h:22:23: warning: enumeration value ‘DISTANCE_Kmer6_6’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_Kmer20_3’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_Kmer20_4’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_Kbit20_3’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_Kmer4_6’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_PWKimura’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_PWScoreDist’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_ScoreDist’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_Edit’ not handled in switch [-Wswitch] In file included from muscle.h:34, from refine.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c refinehoriz.cpp -o refinehoriz.o In file included from muscle.h:34, from refinehoriz.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ refinehoriz.cpp: In function ‘bool RefineHoriz(MSA&, const Tree&, unsigned int, bool, bool)’: refinehoriz.cpp:169:23: warning: ‘scoreBefore’ may be used uninitialized [-Wmaybe-uninitialized] 169 | SCORE scoreBefore; | ^~~~~~~~~~~ refinehoriz.cpp:170:23: warning: ‘scoreAfter’ may be used uninitialized [-Wmaybe-uninitialized] 170 | SCORE scoreAfter; | ^~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c refinesubfams.cpp -o refinesubfams.o refinesubfams.cpp: In function ‘bool RefineSubfams(MSA&, const Tree&, unsigned int)’: refinesubfams.cpp:63:24: warning: unused variable ‘uNodeCount’ [-Wunused-variable] 63 | const unsigned uNodeCount = tree.GetNodeCount(); | ^~~~~~~~~~ In file included from muscle.h:34, from refinesubfams.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c refinetree.cpp -o refinetree.o In file included from muscle.h:34, from refinetree.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c refinetreee.cpp -o refinetreee.o In file included from muscle.h:34, from refinetreee.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c refinevert.cpp -o refinevert.o In file included from muscle.h:34, from refinevert.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c refinew.cpp -o refinew.o refinew.cpp: In function ‘void AppendMSA(MSA&, const MSA&)’: refinew.cpp:26:24: warning: unused variable ‘uColCountCat’ [-Wunused-variable] 26 | const unsigned uColCountCat = uColCount1 + uColCount2; | ^~~~~~~~~~~~ refinew.cpp: In function ‘void RefineW(const MSA&, MSA&)’: refinew.cpp:129:34: warning: unused variable ‘uOutCols’ [-Wunused-variable] 129 | unsigned uOutCols = msaOut.GetColCount(); | ^~~~~~~~ In file included from muscle.h:34, from refinew.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c savebest.cpp -o savebest.o In file included from muscle.h:34, from savebest.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c scoredist.cpp -o scoredist.o In file included from muscle.h:34, from scoredist.cpp:3: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c scoregaps.cpp -o scoregaps.o scoregaps.cpp:80:14: warning: ‘SCORE Penalty(unsigned int, bool)’ defined but not used [-Wunused-function] 80 | static SCORE Penalty(unsigned Length, bool Term) | ^~~~~~~ scoregaps.cpp:37:13: warning: ‘void FreeGapInfo(GAPINFO*)’ defined but not used [-Wunused-function] 37 | static void FreeGapInfo(GAPINFO *GI) | ^~~~~~~~~~~ In file included from muscle.h:34, from scoregaps.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c scorehistory.cpp -o scorehistory.o In file included from muscle.h:34, from scorehistory.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c scorepp.cpp -o scorepp.o In file included from muscle.h:34, from scorepp.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c seq.cpp -o seq.o In file included from muscle.h:34, from seq.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c seqvect.cpp -o seqvect.o In file included from muscle.h:34, from seqvect.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c setblosumweights.cpp -o setblosumweights.o In file included from muscle.h:34, from setblosumweights.cpp:42: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c setgscweights.cpp -o setgscweights.o In file included from muscle.h:34, from setgscweights.cpp:104: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c setnewhandler.cpp -o setnewhandler.o In file included from muscle.h:34, from setnewhandler.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c spfast.cpp -o spfast.o spfast.cpp: In function ‘SCORE ObjScoreSPDimer(const MSA&)’: spfast.cpp:252:24: warning: unused variable ‘uSeqCount’ [-Wunused-variable] 252 | const unsigned uSeqCount = msa.GetSeqCount(); | ^~~~~~~~~ spfast.cpp: At global scope: spfast.cpp:59:14: warning: ‘SCORE SPColBrute(const MSA&, unsigned int)’ defined but not used [-Wunused-function] 59 | static SCORE SPColBrute(const MSA &msa, unsigned uColIndex) | ^~~~~~~~~~ spfast.cpp:14:20: warning: ‘const char* GapTypeToStr(int)’ defined but not used [-Wunused-function] 14 | static const char *GapTypeToStr(int GapType) | ^~~~~~~~~~~~ In file included from muscle.h:34, from spfast.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c sptest.cpp -o sptest.o In file included from muscle.h:34, from sptest.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c stabilize.cpp -o stabilize.o In file included from muscle.h:34, from stabilize.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c subfam.cpp -o subfam.o subfam.cpp: In function ‘void AlignSubFam(SeqVect&, const Tree&, unsigned int, MSA&)’: subfam.cpp:173:13: warning: unused variable ‘NotUsed’ [-Wunused-variable] 173 | int NotUsed = system(CmdLine); | ^~~~~~~ In file included from muscle.h:34, from subfam.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c subfams.cpp -o subfams.o subfams.cpp:52:13: warning: ‘void Relax(DistFunc&, unsigned int, unsigned int)’ defined but not used [-Wunused-function] 52 | static void Relax(DistFunc &DF, unsigned u, unsigned v) | ^~~~~ subfams.cpp:40:13: warning: ‘void InitializeSingleSource(DistFunc&, unsigned int)’ defined but not used [-Wunused-function] 40 | static void InitializeSingleSource(DistFunc &DF, unsigned uIndex) | ^~~~~~~~~~~~~~~~~~~~~~ subfams.cpp:10:13: warning: ‘void GetMostDistantPair(DistFunc&, unsigned int*, unsigned int*)’ defined but not used [-Wunused-function] 10 | static void GetMostDistantPair(DistFunc &DF, unsigned *ptrIndex1, unsigned *ptrIndex2) | ^~~~~~~~~~~~~~~~~~ In file included from muscle.h:34, from subfams.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c sw.cpp -o sw.o sw.cpp:20:13: warning: ‘void ListDP(const SCORE*, const ProfPos*, const ProfPos*, unsigned int, unsigned int)’ defined but not used [-Wunused-function] 20 | static void ListDP(const SCORE *DPM_, const ProfPos *PA, const ProfPos *PB, | ^~~~~~ In file included from muscle.h:34, from sw.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c termgaps.cpp -o termgaps.o In file included from muscle.h:34, from termgaps.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c textfile.cpp -o textfile.o textfile.cpp: In member function ‘void TextFile::PutChar(char)’: textfile.cpp:104:13: warning: unused variable ‘i’ [-Wunused-variable] 104 | int i = fputc(c, m_ptrFile); | ^ textfile.cpp: In member function ‘void TextFile::PutString(const char*)’: textfile.cpp:117:13: warning: unused variable ‘iError’ [-Wunused-variable] 117 | int iError = fputs(szLine, m_ptrFile); | ^~~~~~ In file included from muscle.h:34, from textfile.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c threewaywt.cpp -o threewaywt.o In file included from muscle.h:34, from threewaywt.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c tomhydro.cpp -o tomhydro.o In file included from muscle.h:34, from tomhydro.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c traceback.cpp -o traceback.o traceback.cpp: In function ‘SCORE TraceBack(const ProfPos*, unsigned int, const ProfPos*, unsigned int, const SCORE*, const SCORE*, const SCORE*, PWPath&)’: traceback.cpp:21:24: warning: unused variable ‘uPrefixCountB’ [-Wunused-variable] 21 | const unsigned uPrefixCountB = uLengthB + 1; | ^~~~~~~~~~~~~ In file included from muscle.h:34, from traceback.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c tracebackopt.cpp -o tracebackopt.o In file included from muscle.h:34, from tracebackopt.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c tracebacksw.cpp -o tracebacksw.o tracebacksw.cpp: In function ‘void TraceBackSW(const ProfPos*, unsigned int, const ProfPos*, unsigned int, const SCORE*, const SCORE*, const SCORE*, unsigned int, unsigned int, PWPath&)’: tracebacksw.cpp:22:24: warning: unused variable ‘uPrefixCountB’ [-Wunused-variable] 22 | const unsigned uPrefixCountB = uLengthB + 1; | ^~~~~~~~~~~~~ tracebacksw.cpp:29:15: warning: unused variable ‘scoreMax’ [-Wunused-variable] 29 | SCORE scoreMax = DPM(uPrefixLengthA, uPrefixLengthB); | ^~~~~~~~ In file included from muscle.h:34, from tracebacksw.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c treefrommsa.cpp -o treefrommsa.o In file included from clustsetmsa.h:8, from treefrommsa.cpp:5: msadist.h: In member function ‘double MSADist::ComputeDist(const MSA&, unsigned int, unsigned int)’: msadist.h:22:23: warning: enumeration value ‘DISTANCE_Undefined’ not handled in switch [-Wswitch] 22 | switch(m_Distance) | ^ msadist.h:22:23: warning: enumeration value ‘DISTANCE_Kmer6_6’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_Kmer20_3’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_Kmer20_4’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_Kbit20_3’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_Kmer4_6’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_PWKimura’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_PWScoreDist’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_ScoreDist’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_Edit’ not handled in switch [-Wswitch] In file included from muscle.h:34, from treefrommsa.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c typetostr.cpp -o typetostr.o In file included from muscle.h:34, from typetostr.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ typetostr.cpp: In function ‘const char* SecsToStr(long unsigned int)’: typetostr.cpp:13:28: warning: ‘:’ directive writing 1 byte into a region of size between 0 and 14 [-Wformat-overflow=] 13 | sprintf(Str, "%02ld:%02ld:%02ld", hh, mm, ss); | ^ typetostr.cpp:13:22: note: directive argument in the range [0, 59] 13 | sprintf(Str, "%02ld:%02ld:%02ld", hh, mm, ss); | ^~~~~~~~~~~~~~~~~~~ typetostr.cpp:13:22: note: directive argument in the range [0, 59] In file included from /usr/include/stdio.h:970, from muscle.h:27: In function ‘int sprintf(char*, const char*, ...)’, inlined from ‘const char* SecsToStr(long unsigned int)’ at typetostr.cpp:13:9: /usr/include/x86_64-linux-gnu/bits/stdio2.h:30:34: note: ‘__builtin___sprintf_chk’ output between 9 and 23 bytes into a destination of size 16 30 | return __builtin___sprintf_chk (__s, __USE_FORTIFY_LEVEL - 1, | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | __glibc_objsize (__s), __fmt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32 | __va_arg_pack ()); | ~~~~~~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c upgma2.cpp -o upgma2.o upgma2.cpp:68:13: warning: ‘void ListState()’ defined but not used [-Wunused-function] 68 | static void ListState() | ^~~~~~~~~ In file included from muscle.h:34, from upgma2.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ upgma2.cpp: In function ‘void UPGMA2(const DistCalc&, Tree&, LINKAGE)’: upgma2.cpp:292:36: warning: ‘dtNewDist’ may be used uninitialized [-Wmaybe-uninitialized] 292 | g_Dist[vL] = dtNewDist; | ~~~~~~~~~~~^~~~~~~~~~~ upgma2.cpp:252:32: note: ‘dtNewDist’ was declared here 252 | dist_t dtNewDist; | ^~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c usage.cpp -o usage.o In file included from muscle.h:34, from usage.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c validateids.cpp -o validateids.o In file included from muscle.h:34, from validateids.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c vtml2.cpp -o vtml2.o In file included from muscle.h:34, from vtml2.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c writescorefile.cpp -o writescorefile.o In file included from muscle.h:34, from writescorefile.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ In function ‘double GetColScore(const MSA&, unsigned int)’, inlined from ‘void WriteScoreFile(const MSA&)’ at writescorefile.cpp:59:29: writescorefile.cpp:40:30: warning: ‘Score’ may be used uninitialized [-Wmaybe-uninitialized] 40 | dSum += Score; | ~~~~~^~~~~~~~ writescorefile.cpp: In function ‘void WriteScoreFile(const MSA&)’: writescorefile.cpp:27:32: note: ‘Score’ was declared here 27 | double Score; | ^~~~~ g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o muscle.so aligngivenpath.o aligngivenpathsw.o aligntwomsas.o aligntwoprofs.o aln.o alpha.o anchors.o bittraceback.o blosum62.o blosumla.o clust.o cluster.o clwwt.o color.o cons.o diaglist.o diffobjscore.o diffpaths.o difftrees.o difftreese.o distcalc.o distfunc.o distpwkimura.o domuscle.o dosp.o dpreglist.o drawtree.o edgelist.o enumopts.o enumtostr.o estring.o fasta.o fasta2.o fastclust.o fastdist.o fastdistjones.o fastdistkbit.o fastdistkmer.o fastdistmafft.o fastdistnuc.o fastscorepath2.o finddiags.o finddiagsn.o glbalign.o glbalign352.o glbaligndiag.o glbalignla.o glbalignle.o glbalignns.o glbalignsimple.o glbalignsp.o glbalignspn.o glbalignss.o glbalndimer.o globals.o globalslinux.o globalsosx.o globalsother.o globalswin32.o gonnet.o gotowt.o henikoffweight.o henikoffweightpb.o html.o hydro.o intmath.o local.o main.o makerootmsa.o makerootmsab.o maketree.o mhack.o mpam200.o msa.o msa2.o msadistkimura.o msf.o muscle.o muscleout.o nucmx.o nwdasimple.o nwdasimple2.o nwdasmall.o nwrec.o nwsmall.o objscore.o objscore2.o objscoreda.o onexception.o optionsR.o outweights.o pam200mafft.o params.o phy.o phy2.o phy3.o phy4.o phyfromclust.o phyfromfile.o physeq.o phytofile.o posgap.o ppscore.o profdb.o profile.o profilefrommsa.o progalign.o progress.o progressivealign.o pwpath.o readmx.o realigndiffs.o realigndiffse.o redblack.o refine.o refinehoriz.o refinesubfams.o refinetree.o refinetreee.o refinevert.o refinew.o savebest.o scoredist.o scoregaps.o scorehistory.o scorepp.o seq.o seqvect.o setblosumweights.o setgscweights.o setnewhandler.o spfast.o sptest.o stabilize.o subfam.o subfams.o sw.o termgaps.o textfile.o threewaywt.o tomhydro.o traceback.o tracebackopt.o tracebacksw.o treefrommsa.o typetostr.o upgma2.o usage.o validateids.o vtml2.o writescorefile.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmpaz3LjK/R.INSTALL340286c8605cf/muscle/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-muscle/00new/muscle/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (muscle) * installing *source* package ‘Rphylopars’ ... ** this is package ‘Rphylopars’ version ‘0.3.10’ ** package ‘Rphylopars’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-15 (Debian 15.2.0-12) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpRFxAWK/R.INSTALL34143a22fa9bf6/Rphylopars/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c phylopars_rcpp.cpp -o phylopars_rcpp.o 'LdFlags' has not been needed since 2013 (!!) and may get removed in 2027. Please update your 'Makevars'. 'RcppLdFlags' has not been needed since 2013 (!!) and may get removed in 2027. Please update your 'Makevars'. g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o Rphylopars.so RcppExports.o phylopars_rcpp.o -llapack -L/home/hornik/tmp/R/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R/lib -lR 'LdFlags' has not been needed since 2013 (!!) and may get removed in 2027. Please update your 'Makevars'. 'RcppLdFlags' has not been needed since 2013 (!!) and may get removed in 2027. Please update your 'Makevars'. make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpRFxAWK/R.INSTALL34143a22fa9bf6/Rphylopars/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-Rphylopars/00new/Rphylopars/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Rphylopars) * installing *source* package ‘move’ ... ** this is package ‘move’ version ‘4.2.7’ ** package ‘move’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-15 (Debian 15.2.0-12) 15.2.0’ using C++ compiler: ‘g++-15 (Debian 15.2.0-12) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpCIm2s4/R.INSTALL340f2e72140a14/move/src' gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c bgbVar.c -o bgbVar.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c bgbVarRcpp.cpp -o bgbVarRcpp.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c bgb_bbmm.c -o bgb_bbmm.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c emd.cpp -o emd.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o move.so bgbVar.o bgbVarRcpp.o bgb_bbmm.o emd.o init.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpCIm2s4/R.INSTALL340f2e72140a14/move/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-move/00new/move/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading in method for ‘move’ with signature ‘x="telemetry",y="missing",time="missing",data="missing",proj="missing"’: no definition for class “telemetry” in method for ‘move’ with signature ‘x="track_xyt",y="missing",time="missing",data="missing",proj="missing"’: no definition for class “track_xyt” in method for ‘move’ with signature ‘x="track",y="missing",time="missing",data="missing",proj="missing"’: no definition for class “track” in method for ‘move’ with signature ‘x="binClstPath",y="missing",time="missing",data="missing",proj="missing"’: no definition for class “binClstPath” in method for ‘move’ with signature ‘x="binClstStck",y="missing",time="missing",data="missing",proj="missing"’: no definition for class “binClstStck” in method for ‘coerce’ with signature ‘"telemetry","Move"’: no definition for class “telemetry” in method for ‘coerce’ with signature ‘"track_xyt","Move"’: no definition for class “track_xyt” in method for ‘coerce’ with signature ‘"track","Move"’: no definition for class “track” in method for ‘coerce’ with signature ‘"binClstPath","Move"’: no definition for class “binClstPath” in method for ‘coerce’ with signature ‘"binClstStck","MoveStack"’: no definition for class “binClstStck” ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (move) * installing *source* package ‘OSMscale’ ... ** this is package ‘OSMscale’ version ‘0.5.23’ ** package ‘OSMscale’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (OSMscale) * installing *source* package ‘CoordinateCleaner’ ... ** this is package ‘CoordinateCleaner’ version ‘3.0.1’ ** package ‘CoordinateCleaner’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (CoordinateCleaner) * installing *source* package ‘biomod2’ ... ** this is package ‘biomod2’ version ‘4.3-4-3’ ** package ‘biomod2’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location Warning in library(package, lib.loc = lib.loc, character.only = TRUE, logical.return = TRUE, : there is no package called ‘cito’ Warning in library(package, lib.loc = lib.loc, character.only = TRUE, logical.return = TRUE, : there is no package called ‘mda’ Warning in library(package, lib.loc = lib.loc, character.only = TRUE, logical.return = TRUE, : there is no package called ‘gam’ Warning in library(package, lib.loc = lib.loc, character.only = TRUE, logical.return = TRUE, : there is no package called ‘earth’ Warning in library(package, lib.loc = lib.loc, character.only = TRUE, logical.return = TRUE, : there is no package called ‘maxnet’ Warning in library(package, lib.loc = lib.loc, character.only = TRUE, logical.return = TRUE, : there is no package called ‘randomForest’ Warning in library(package, lib.loc = lib.loc, character.only = TRUE, logical.return = TRUE, : there is no package called ‘xgboost’ ** testing if installed package can be loaded from final location Warning in library(package, lib.loc = lib.loc, character.only = TRUE, logical.return = TRUE, : there is no package called ‘cito’ Warning in library(package, lib.loc = lib.loc, character.only = TRUE, logical.return = TRUE, : there is no package called ‘mda’ Warning in library(package, lib.loc = lib.loc, character.only = TRUE, logical.return = TRUE, : there is no package called ‘gam’ Warning in library(package, lib.loc = lib.loc, character.only = TRUE, logical.return = TRUE, : there is no package called ‘earth’ Warning in library(package, lib.loc = lib.loc, character.only = TRUE, logical.return = TRUE, : there is no package called ‘maxnet’ Warning in library(package, lib.loc = lib.loc, character.only = TRUE, logical.return = TRUE, : there is no package called ‘randomForest’ Warning in library(package, lib.loc = lib.loc, character.only = TRUE, logical.return = TRUE, : there is no package called ‘xgboost’ ** testing if installed package keeps a record of temporary installation path * DONE (biomod2) begin installing package ‘ecospat’ * installing *source* package ‘s2dv’ ... ** this is package ‘s2dv’ version ‘2.2.1’ ** package ‘s2dv’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (s2dv) begin installing package ‘startR’ * installing *source* package ‘ecospat’ ... ** this is package ‘ecospat’ version ‘4.1.2’ ** package ‘ecospat’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ecospat) * installing *source* package ‘fasterize’ ... ** this is package ‘fasterize’ version ‘1.1.0’ ** package ‘fasterize’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-15 (Debian 15.2.0-12) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpeKGDnt/R.INSTALL340fd72e1c51ec/fasterize/src' rm -f fasterize.so RcppExports.o check_inputs.o edgelist.o fasterize.o pixelfn.o rasterize_polygon.o utils.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -DARMA_64BIT_WORD -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -DARMA_64BIT_WORD -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c check_inputs.cpp -o check_inputs.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -DARMA_64BIT_WORD -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c edgelist.cpp -o edgelist.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -DARMA_64BIT_WORD -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c fasterize.cpp -o fasterize.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -DARMA_64BIT_WORD -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c pixelfn.cpp -o pixelfn.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -DARMA_64BIT_WORD -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rasterize_polygon.cpp -o rasterize_polygon.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -DARMA_64BIT_WORD -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c utils.cpp -o utils.o g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o fasterize.so RcppExports.o check_inputs.o edgelist.o fasterize.o pixelfn.o rasterize_polygon.o utils.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpeKGDnt/R.INSTALL340fd72e1c51ec/fasterize/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-fasterize/00new/fasterize/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fasterize) * installing *source* package ‘startR’ ... ** this is package ‘startR’ version ‘3.0.0’ ** package ‘startR’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (startR) begin installing package ‘CSTools’ * installing *source* package ‘vol2birdR’ ... ** this is package ‘vol2birdR’ version ‘1.2.1’ ** package ‘vol2birdR’ successfully unpacked and MD5 sums checked ** using staged installation checking for a sed that does not truncate output... /usr/bin/sed checking for gawk... gawk checking for grep that handles long lines and -e... /usr/bin/grep checking for gcc... gcc-15 checking whether the C compiler works... yes checking for C compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether the compiler supports GNU C... yes checking whether gcc-15 accepts -g... yes checking for gcc-15 option to enable C11 features... none needed checking for stdio.h... yes checking for stdlib.h... yes checking for string.h... yes checking for inttypes.h... yes checking for stdint.h... yes checking for strings.h... yes checking for sys/stat.h... yes checking for sys/types.h... yes checking for unistd.h... yes checking for h5cc... /usr/bin/h5cc checking for HDF5 libraries... yes (version 1.14.5) checking for hdf5.h... yes checking for H5Fcreate in -lhdf5... yes checking for hdf5_hl.h... yes checking for H5LTpath_valid in -lhdf5_hl... yes checking for main in -lhdf5_hl... yes checking for matching HDF5 Fortran wrapper... /usr/bin/h5fc Found hdf5 with version: 1.14.5 checking for pkg-config... yes checking for proj CFLAGS... -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 checking for proj LDFLAGS... checking for proj LIBS... -lproj checking for proj.h... yes checking for proj_trans in -lproj... yes checking If PROJ could be identified... Yes configure: PROJ variant: 6 configure: PROJ cflags: -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 configure: PROJ ldflags: configure: PROJ libs: -lproj VOL2BIRD_CPPFLAGS= -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I$(top_srcdir)/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include VOL2BIRD_LIBS=-L/usr/lib/x86_64-linux-gnu/hdf5/serial -lproj -lhdf5 -lcrypto -lcurl -lpthread -lsz -lz -ldl -lm -lz -lm checking if iris2odim support can be enabled... no configure: creating ./config.status config.status: creating src/Makevars ** libs using C++ compiler: ‘g++-15 (Debian 15.2.0-12) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpRZ1rHo/R.INSTALL3408b57f52c663/vol2birdR/src' The name of the shared library to be created is: vol2birdR.so g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RaveIO.cpp -o RaveIO.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c mistnet.cpp -o mistnet.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c libvol2bird/libdealias.c -o libvol2bird/libdealias.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c libvol2bird/librender.c -o libvol2bird/librender.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c libvol2bird/librsl.c -o libvol2bird/librsl.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c libvol2bird/libsvdfit.c -o libvol2bird/libsvdfit.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c libvol2bird/libvol2bird.c -o libvol2bird/libvol2bird.o libvol2bird/libvol2bird.c: In function ‘saveToCSV’: libvol2bird/libvol2bird.c:3297:17: warning: variable ‘source’ set but not used [-Wunused-but-set-variable] 3297 | const char *source, *date, *time; | ^~~~~~ gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/area.c -o librave/area.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/bitmap_generator.c -o librave/bitmap_generator.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/cartesian.c -o librave/cartesian.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/cartesian_odim_io.c -o librave/cartesian_odim_io.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/cartesiancomposite.c -o librave/cartesiancomposite.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/cartesianparam.c -o librave/cartesianparam.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/cartesianvolume.c -o librave/cartesianvolume.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/composite.c -o librave/composite.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/ctfilter.c -o librave/ctfilter.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/dealias.c -o librave/dealias.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/detection_range.c -o librave/detection_range.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/lazy_dataset.c -o librave/lazy_dataset.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/lazy_nodelist_reader.c -o librave/lazy_nodelist_reader.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/odc_hac.c -o librave/odc_hac.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/odim_io_utilities.c -o librave/odim_io_utilities.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/polar.c -o librave/polar.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/polar_odim_io.c -o librave/polar_odim_io.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/polarnav.c -o librave/polarnav.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/polarscan.c -o librave/polarscan.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/polarscanparam.c -o librave/polarscanparam.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/polarvolume.c -o librave/polarvolume.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/poo_composite_algorithm.c -o librave/poo_composite_algorithm.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/proj_wkt_helper.c -o librave/proj_wkt_helper.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/projection.c -o librave/projection.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/projection_pipeline.c -o librave/projection_pipeline.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/radardefinition.c -o librave/radardefinition.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/rave_acrr.c -o librave/rave_acrr.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/rave_alloc.c -o librave/rave_alloc.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/rave_attribute.c -o librave/rave_attribute.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/rave_attribute_table.c -o librave/rave_attribute_table.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/rave_data2d.c -o librave/rave_data2d.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/rave_datetime.c -o librave/rave_datetime.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/rave_debug.c -o librave/rave_debug.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/rave_field.c -o librave/rave_field.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/rave_gra.c -o librave/rave_gra.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/rave_hlhdf_utilities.c -o librave/rave_hlhdf_utilities.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/rave_io.c -o librave/rave_io.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/rave_list.c -o librave/rave_list.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/rave_object.c -o librave/rave_object.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/rave_qitotal.c -o librave/rave_qitotal.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/rave_transform.c -o librave/rave_transform.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/rave_types.c -o librave/rave_types.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/rave_utilities.c -o librave/rave_utilities.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/raveobject_hashtable.c -o librave/raveobject_hashtable.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/raveobject_list.c -o librave/raveobject_list.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/raveutil.c -o librave/raveutil.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/transform.c -o librave/transform.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/vertical_profile.c -o librave/vertical_profile.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librave/vp_odim_io.c -o librave/vp_odim_io.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c libhlhdf/hlhdf.c -o libhlhdf/hlhdf.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c libhlhdf/hlhdf_alloc.c -o libhlhdf/hlhdf_alloc.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c libhlhdf/hlhdf_compound.c -o libhlhdf/hlhdf_compound.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c libhlhdf/hlhdf_compound_utils.c -o libhlhdf/hlhdf_compound_utils.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c libhlhdf/hlhdf_debug.c -o libhlhdf/hlhdf_debug.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c libhlhdf/hlhdf_node.c -o libhlhdf/hlhdf_node.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c libhlhdf/hlhdf_nodelist.c -o libhlhdf/hlhdf_nodelist.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c libhlhdf/hlhdf_read.c -o libhlhdf/hlhdf_read.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c libhlhdf/hlhdf_write.c -o libhlhdf/hlhdf_write.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librsl/anyformat_to_radar.c -o librsl/anyformat_to_radar.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librsl/endian.c -o librsl/endian.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librsl/gzip.c -o librsl/gzip.o librsl/gzip.c: In function ‘uncompress_pipe’: librsl/gzip.c:162:1: warning: label ‘done’ defined but not used [-Wunused-label] 162 | done: | ^~~~ librsl/gzip.c: In function ‘rsl_pclose’: librsl/gzip.c:113:13: warning: pointer ‘fp’ may be used after ‘pclose’ [-Wuse-after-free] 113 | if ((rc=fclose(fp)) == EOF) { | ^~~~~~~~~~ librsl/gzip.c:111:11: note: call to ‘pclose’ here 111 | if ((rc=pclose(fp)) == EOF) { | ^~~~~~~~~~ gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librsl/prune.c -o librsl/prune.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librsl/radar.c -o librsl/radar.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librsl/rainbow.c -o librsl/rainbow.o librsl/rainbow.c: In function ‘W_label’: librsl/rainbow.c:161:10: warning: unused variable ‘label’ [-Wunused-variable] 161 | char label; | ^~~~~ gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librsl/rainbow_to_radar.c -o librsl/rainbow_to_radar.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librsl/range.c -o librsl/range.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librsl/ray_indexes.c -o librsl/ray_indexes.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librsl/sort_rays.c -o librsl/sort_rays.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librsl/uf_to_radar.c -o librsl/uf_to_radar.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librsl/volume.c -o librsl/volume.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librsl/wsr88d.c -o librsl/wsr88d.o librsl/wsr88d.c: In function ‘print_head’: librsl/wsr88d.c:171:3: warning: this ‘for’ clause does not guard... [-Wmisleading-indentation] 171 | for (i=0;i<9;i++) RSL_printf("%c", h.title.filename[i]); RSL_printf("\n"); | ^~~ librsl/wsr88d.c:171:62: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘for’ 171 | for (i=0;i<9;i++) RSL_printf("%c", h.title.filename[i]); RSL_printf("\n"); | ^~~~~~~~~~ librsl/wsr88d.c:174:3: warning: this ‘for’ clause does not guard... [-Wmisleading-indentation] 174 | for (i=0;i<3;i++) RSL_printf("%c", h.title.ext[i]); RSL_printf("\n"); | ^~~ librsl/wsr88d.c:174:57: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘for’ 174 | for (i=0;i<3;i++) RSL_printf("%c", h.title.ext[i]); RSL_printf("\n"); | ^~~~~~~~~~ gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librsl/wsr88d_get_site.c -o librsl/wsr88d_get_site.o librsl/wsr88d_get_site.c: In function ‘wsr88d_get_site’: librsl/wsr88d_get_site.c:89:37: warning: this ‘for’ clause does not guard... [-Wmisleading-indentation] 89 | for(i=0;i<4;i++) | ^~~ librsl/wsr88d_get_site.c:91:41: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘for’ 91 | for(i=0;i<15;i++) | ^~~ gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librsl/wsr88d_m31.c -o librsl/wsr88d_m31.o librsl/wsr88d_m31.c: In function ‘wsr88d_load_ray_into_radar’: librsl/wsr88d_m31.c:395:20: warning: variable ‘waveform’ set but not used [-Wunused-but-set-variable] 395 | int vol_index, waveform; | ^~~~~~~~ gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librsl/wsr88d_merge_split_cuts.c -o librsl/wsr88d_merge_split_cuts.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librsl/wsr88d_remove_sails_sweep.c -o librsl/wsr88d_remove_sails_sweep.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/include/x86_64-linux-gnu -I/usr/include/webp -isystem /usr/include/mit-krb5 -I/usr/include/p11-kit-1 -I/src/H5FDsubfiling -I/usr/include/hdf5/serial -I/usr/include -DH5_USE_110_API -I. -I./includes -I./includes/libvol2bird -I./includes/libmistnet -I./includes/librave -I./includes/libhlhdf -I./includes/librsl -DNOCONFUSE -DMISTNET -DVOL2BIRD_R -DNO_VOL2BIRD_PRINTF -DNO_HLHDF_PRINTF -DNO_HLHDF_ABORT -DNO_RAVE_PRINTF -DNO_RAVE_ABORT -DNO_UNZIP_PIPE -DRSL_NO_STDERR_PRINTF -DRSL=1 -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppGSL/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c librsl/wsr88d_to_radar.c -o librsl/wsr88d_to_radar.o g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o vol2birdR.so ./RaveIO.o ./RcppExports.o ./mistnet.o ./libvol2bird/libdealias.o ./libvol2bird/librender.o ./libvol2bird/librsl.o ./libvol2bird/libsvdfit.o ./libvol2bird/libvol2bird.o ./librave/area.o ./librave/bitmap_generator.o ./librave/cartesian.o ./librave/cartesian_odim_io.o ./librave/cartesiancomposite.o ./librave/cartesianparam.o ./librave/cartesianvolume.o ./librave/composite.o ./librave/ctfilter.o ./librave/dealias.o ./librave/detection_range.o ./librave/lazy_dataset.o ./librave/lazy_nodelist_reader.o ./librave/odc_hac.o ./librave/odim_io_utilities.o ./librave/polar.o ./librave/polar_odim_io.o ./librave/polarnav.o ./librave/polarscan.o ./librave/polarscanparam.o ./librave/polarvolume.o ./librave/poo_composite_algorithm.o ./librave/proj_wkt_helper.o ./librave/projection.o ./librave/projection_pipeline.o ./librave/radardefinition.o ./librave/rave_acrr.o ./librave/rave_alloc.o ./librave/rave_attribute.o ./librave/rave_attribute_table.o ./librave/rave_data2d.o ./librave/rave_datetime.o ./librave/rave_debug.o ./librave/rave_field.o ./librave/rave_gra.o ./librave/rave_hlhdf_utilities.o ./librave/rave_io.o ./librave/rave_list.o ./librave/rave_object.o ./librave/rave_qitotal.o ./librave/rave_transform.o ./librave/rave_types.o ./librave/rave_utilities.o ./librave/raveobject_hashtable.o ./librave/raveobject_list.o ./librave/raveutil.o ./librave/transform.o ./librave/vertical_profile.o ./librave/vp_odim_io.o ./libhlhdf/hlhdf.o ./libhlhdf/hlhdf_alloc.o ./libhlhdf/hlhdf_compound.o ./libhlhdf/hlhdf_compound_utils.o ./libhlhdf/hlhdf_debug.o ./libhlhdf/hlhdf_node.o ./libhlhdf/hlhdf_nodelist.o ./libhlhdf/hlhdf_read.o ./libhlhdf/hlhdf_write.o ./librsl/anyformat_to_radar.o ./librsl/endian.o ./librsl/gzip.o ./librsl/prune.o ./librsl/radar.o ./librsl/rainbow.o ./librsl/rainbow_to_radar.o ./librsl/range.o ./librsl/ray_indexes.o ./librsl/sort_rays.o ./librsl/uf_to_radar.o ./librsl/volume.o ./librsl/wsr88d.o ./librsl/wsr88d_get_site.o ./librsl/wsr88d_m31.o ./librsl/wsr88d_merge_split_cuts.o ./librsl/wsr88d_remove_sails_sweep.o ./librsl/wsr88d_to_radar.o -L/usr/lib/x86_64-linux-gnu/hdf5/serial -lproj -lhdf5 -lcrypto -lcurl -lpthread -lsz -lz -ldl -lm -lz -lm -L/usr/lib/x86_64-linux-gnu -lgsl -lgslcblas -lm -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpRZ1rHo/R.INSTALL3408b57f52c663/vol2birdR/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-vol2birdR/00new/vol2birdR/libs ** R ** inst ** byte-compile and prepare package for lazy loading in method for ‘show’ with signature ‘"Rcpp_Vol2BirdConfig"’: no definition for class “Rcpp_Vol2BirdConfig” ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (vol2birdR) * installing *source* package ‘CSTools’ ... ** this is package ‘CSTools’ version ‘5.3.0’ ** package ‘CSTools’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-15 (Debian 15.2.0-12) 15.2.0’ using Fortran compiler: ‘GNU Fortran (Debian 15.2.0-12) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpbP7l7m/R.INSTALL343bf374ca4264/CSTools/src' gfortran-15 -fpic -g -O2 -Wall -pedantic -mtune=native -c mod_csts.f90 -o mod_csts.o gfortran-15 -fpic -g -O2 -Wall -pedantic -mtune=native -c mod_funcs.f90 -o mod_funcs.o mod_funcs.f90:1216:1: 1216 | 3 DO J=1,NLATR | 1 Warning: Label 3 at (1) defined but not used [-Wunused-label] mod_funcs.f90:1249:9: 1249 | pi=3.14159265358979d0 | 1 Warning: Change of value in conversion from ‘REAL(8)’ to ‘REAL(4)’ at (1) [-Wconversion] mod_funcs.f90:1250:10: 1250 | sol=t1+t2/60.d0+t3/3600.d0 | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] mod_funcs.f90:1222:12: 1222 | M = XX | 1 Warning: Possible change of value in conversion from REAL(4) to INTEGER(4) at (1) [-Wconversion] mod_funcs.f90:1223:12: 1223 | N = YY | 1 Warning: Possible change of value in conversion from REAL(4) to INTEGER(4) at (1) [-Wconversion] mod_funcs.f90:1125:14: 1125 | XLATMIH=SLAT+(RLAT*(NLAT-1)) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] mod_funcs.f90:1126:14: 1126 | XLONMIH=SLON | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] mod_funcs.f90:1127:14: 1127 | XLATMIR=XLATMIH+ABS(RLAT) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] mod_funcs.f90:1128:14: 1128 | XLONMIR=XLONMIH+RLON | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] mod_funcs.f90:1129:12: 1129 | DLATH=ABS(RLAT) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] mod_funcs.f90:1130:12: 1130 | DLONH=ABS(RLON) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] mod_funcs.f90:1131:12: 1131 | DLATR=ABS(RLAT/2.) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] mod_funcs.f90:1132:12: 1132 | DLONR=ABS(RLON/2.) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] mod_funcs.f90:1026:14: 1026 | RLT(J)=SLAT+(((J-1)/NLON)*RLAT) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] mod_funcs.f90:1027:14: 1027 | RLN(J)=SLON+((MOD(J-1,NLON)+1-1)*RLON) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] mod_funcs.f90:1041:14: 1041 | RLX(J)=(2.*PI*RT*COS(RLT(J)*PI/180.))/(360./RLON) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] mod_funcs.f90:1044:10: 1044 | RLY=2.*PI*RT*ABS(RLAT)/360. | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] mod_funcs.f90:110:11: 110 | dis=dis+p(k)*(ca(i,k)-cg(nr,k))**2 | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] mod_funcs.f90:95:11: 95 | dis=dis+p(k)*(ca(i,k)-cg(nr,k))**2 | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] mod_funcs.f90:232:39: 232 | real yyes(n),sst,sse,cdet,cdeta,cdetp(nvarx),myy,incr | 1~~~~~~~~~~~ Warning: Unused variable ‘cdetp’ declared at (1) [-Wunused-variable] mod_funcs.f90:228:45: 228 | real yy(n),xx(nvarx,n),res1(n),res(n),ser1(n),ser2(n),aa(n) | 1~~~~~~ Warning: Unused variable ‘ser1’ declared at (1) [-Wunused-variable] mod_funcs.f90:232:24: 232 | real yyes(n),sst,sse,cdet,cdeta,cdetp(nvarx),myy,incr | 1~~ Warning: Unused variable ‘sse’ declared at (1) [-Wunused-variable] mod_funcs.f90:232:12: 232 | real yyes(n),sst,sse,cdet,cdeta,cdetp(nvarx),myy,incr | 1~~~~~~ Warning: Unused variable ‘yyes’ declared at (1) [-Wunused-variable] mod_funcs.f90:792:12: 792 | if (j.ne.imax)then | ^ Warning: ‘imax’ may be used uninitialized [-Wmaybe-uninitialized] mod_funcs.f90:757:17: 757 | INTEGER i,imax,j,k | ^~~~ note: ‘imax’ was declared here gfortran-15 -fpic -g -O2 -Wall -pedantic -mtune=native -c calc_geoswind.f90 -o calc_geoswind.o calc_geoswind.f90:48:14: 48 | psl(:)=msl_lr(i,:)*100./g | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] calc_geoswind.f90:41:17: 41 | character for10*50 | 1~~~~ Warning: Unused variable ‘for10’ declared at (1) [-Wunused-variable] gfortran-15 -fpic -g -O2 -Wall -pedantic -mtune=native -c calc_utm_rej_era5_penin.f90 -o calc_utm_rej_era5_penin.o calc_utm_rej_era5_penin.f90:35:14: 35 | rlt(j)=slat+(((j-1)/nlon)*rlat) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] calc_utm_rej_era5_penin.f90:36:14: 36 | rln(j)=slon+((mod(j-1,nlon)+1-1)*rlon) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] calc_utm_rej_era5_penin.f90:47:12: 47 | x(j)=xint | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] calc_utm_rej_era5_penin.f90:48:12: 48 | y(j)=yint | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] calc_utm_rej_era5_penin.f90:24:15: 24 | integer igrad,imin,rseg,igrad1,imin1 | 1~~~~ Warning: Unused variable ‘igrad’ declared at (1) [-Wunused-variable] calc_utm_rej_era5_penin.f90:24:31: 24 | integer igrad,imin,rseg,igrad1,imin1 | 1~~~~~ Warning: Unused variable ‘igrad1’ declared at (1) [-Wunused-variable] calc_utm_rej_era5_penin.f90:24:21: 24 | integer igrad,imin,rseg,igrad1,imin1 | 1~~~ Warning: Unused variable ‘imin’ declared at (1) [-Wunused-variable] calc_utm_rej_era5_penin.f90:24:38: 24 | integer igrad,imin,rseg,igrad1,imin1 | 1~~~~ Warning: Unused variable ‘imin1’ declared at (1) [-Wunused-variable] calc_utm_rej_era5_penin.f90:5:23: 5 | SUBROUTINE utm_ERA(ic,nlat,nlon,slat,slon,rlat,rlon,x,y) | 1~~~ Warning: Unused dummy argument ‘nlat’ at (1) [-Wunused-dummy-argument] calc_utm_rej_era5_penin.f90:28:24: 28 | double precision r1,r2,r3,r4,r5,r6,rad,rad1,xint,yint | 1~ Warning: Unused variable ‘r1’ declared at (1) [-Wunused-variable] calc_utm_rej_era5_penin.f90:28:27: 28 | double precision r1,r2,r3,r4,r5,r6,rad,rad1,xint,yint | 1~ Warning: Unused variable ‘r2’ declared at (1) [-Wunused-variable] calc_utm_rej_era5_penin.f90:28:30: 28 | double precision r1,r2,r3,r4,r5,r6,rad,rad1,xint,yint | 1~ Warning: Unused variable ‘r3’ declared at (1) [-Wunused-variable] calc_utm_rej_era5_penin.f90:28:33: 28 | double precision r1,r2,r3,r4,r5,r6,rad,rad1,xint,yint | 1~ Warning: Unused variable ‘r4’ declared at (1) [-Wunused-variable] calc_utm_rej_era5_penin.f90:28:36: 28 | double precision r1,r2,r3,r4,r5,r6,rad,rad1,xint,yint | 1~ Warning: Unused variable ‘r5’ declared at (1) [-Wunused-variable] calc_utm_rej_era5_penin.f90:28:39: 28 | double precision r1,r2,r3,r4,r5,r6,rad,rad1,xint,yint | 1~ Warning: Unused variable ‘r6’ declared at (1) [-Wunused-variable] calc_utm_rej_era5_penin.f90:24:26: 24 | integer igrad,imin,rseg,igrad1,imin1 | 1~~~ Warning: Unused variable ‘rseg’ declared at (1) [-Wunused-variable] calc_utm_rej_era5_penin.f90:25:12: 25 | real rseg1 | 1~~~~ Warning: Unused variable ‘rseg1’ declared at (1) [-Wunused-variable] gfortran-15 -fpic -g -O2 -Wall -pedantic -mtune=native -c calc_utmcandelasgrid.f90 -o calc_utmcandelasgrid.o calc_utmcandelasgrid.f90:32:16: 32 | xcand(i)=xint | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] calc_utmcandelasgrid.f90:33:16: 33 | ycand(i)=yint | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] gfortran-15 -fpic -g -O2 -Wall -pedantic -mtune=native -c calculo_tempes_densi_sealevel.f90 -o calculo_tempes_densi_sealevel.o calculo_tempes_densi_sealevel.f90:26:14: 26 | psl(:)=msl_si(i,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] calculo_tempes_densi_sealevel.f90:27:15: 27 | tmil(:)=t1000(i,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] gfortran-15 -fpic -g -O2 -Wall -pedantic -mtune=native -c clasif_era_pen_kmeans.f90 -o clasif_era_pen_kmeans.o clasif_era_pen_kmeans.f90:55:14: 55 | rlt(j)=slat+(((j-1)/nlon)*rlat) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] clasif_era_pen_kmeans.f90:56:14: 56 | rln(j)=slon+((mod(j-1,nlon)+1-1)*rlon) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] clasif_era_pen_kmeans.f90:81:15: 81 | u5(:,:)=u500(:,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] clasif_era_pen_kmeans.f90:82:15: 82 | v5(:,:)=v500(:,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] clasif_era_pen_kmeans.f90:83:17: 83 | geo9(:,:)=z1000(:,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] clasif_era_pen_kmeans.f90:84:17: 84 | geo5(:,:)=z500(:,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] clasif_era_pen_kmeans.f90:90:15: 90 | ser(i)=um(i,j) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] clasif_era_pen_kmeans.f90:96:15: 96 | ser(i)=vm(i,j) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] clasif_era_pen_kmeans.f90:120:16: 120 | u9(i,j)=(um(i,j)-mu9(j))/su9(j) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] clasif_era_pen_kmeans.f90:121:16: 121 | v9(i,j)=(vm(i,j)-mv9(j))/sv9(j) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] clasif_era_pen_kmeans.f90:235:18: 235 | gu91(i,j)=gu92(i,j) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] clasif_era_pen_kmeans.f90:236:18: 236 | gv91(i,j)=gv92(i,j) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] clasif_era_pen_kmeans.f90:237:18: 237 | gu51(i,j)=gu52(i,j) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] clasif_era_pen_kmeans.f90:238:18: 238 | gv51(i,j)=gv52(i,j) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] clasif_era_pen_kmeans.f90:5:30: 5 | SUBROUTINE clasif(ic,nd,nlon,nlat,slat,slon,rlat,rlon,um,vm,u500,v500,& | 1~~~ Warning: Unused dummy argument ‘nlat’ at (1) [-Wunused-dummy-argument] gfortran-15 -fpic -g -O2 -Wall -pedantic -mtune=native -c downscaling_prec.f90 -o downscaling_prec.o downscaling_prec.f90:138:14: 138 | rlt(j)=slat+(((j-1)/nlon)*rlat) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_prec.f90:139:14: 139 | rln(j)=slon+((mod(j-1,nlon)+1-1)*rlon) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_prec.f90:164:15: 164 | rltt(j)=slatt+(((j-1)/nlont)*rlat) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_prec.f90:165:15: 165 | rlnt(j)=slont+((mod(j-1,nlont)+1-1)*rlon) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_prec.f90:171:14: 171 | u5(:,:)=u500(:,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_prec.f90:172:14: 172 | v5(:,:)=v500(:,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_prec.f90:173:15: 173 | psl(:,:)=msl_si(:,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_prec.f90:174:15: 174 | he7(:,:)=q700(:,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_prec.f90:175:14: 175 | t5(:,:)=t500(:,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_prec.f90:176:14: 176 | t8(:,:)=t850(:,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_prec.f90:181:16: 181 | prec(:,:)=prec_hr(:,:)*10. | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_prec.f90:187:15: 187 | ser(i)=um(i,j) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_prec.f90:194:15: 194 | ser(i)=vm(i,j) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_prec.f90:219:16: 219 | Vdis(:,:)=vdmin(:,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_prec.f90:344:12: 344 | rlx=rt*cos(rlt(ice)*pi/180.)*pi*rlon/180. | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_prec.f90:345:12: 345 | rly=rt*abs(rlat)*pi/180. | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_prec.f90:346:13: 346 | vorm=um(i,ice-nlon)-um(i,ice+nlon) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_prec.f90:348:13: 348 | vorz=vm(i,ice+1)-vm(i,ice-1) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_prec.f90:371:21: 371 | pred1(5,i,j)=um(i,ice) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_prec.f90:372:21: 372 | pred1(6,i,j)=vm(i,ice) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_prec.f90:403:12: 403 | rlx=rt*cos(rlt(ice)*pi/180.)*pi*rlon/180. | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_prec.f90:404:12: 404 | rly=rt*abs(rlat)*pi/180. | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_prec.f90:483:16: 483 | u9(i,j)=(um(i,j)-mu9(j))/su9(j) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_prec.f90:484:16: 484 | v9(i,j)=(vm(i,j)-mv9(j))/sv9(j) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_prec.f90:492:17: 492 | ut9(i,j)=(gu92(i,j)-mu9(j))/su9(j) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_prec.f90:493:17: 493 | vt9(i,j)=(gv92(i,j)-mv9(j))/sv9(j) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_prec.f90:494:17: 494 | ut5(i,j)=(gu52(i,j)-mu5(j))/su5(j) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_prec.f90:495:17: 495 | vt5(i,j)=(gv52(i,j)-mv5(j))/sv5(j) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_prec.f90:502:15: 502 | ccm(:,:)=new_ccm(:,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_prec.f90:504:19: 504 | copar(:,:,:)=new_corrpar(:,:,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_prec.f90:525:14: 525 | um5(:)=u500e(i,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_prec.f90:526:14: 526 | vm5(:)=v500e(i,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_prec.f90:527:15: 527 | pres(:)=msle(i,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_prec.f90:528:15: 528 | he7m(:)=q700e(i,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_prec.f90:529:14: 529 | tm5(:)=t500e(i,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_prec.f90:530:14: 530 | tm8(:)=t850e(i,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_prec.f90:537:12: 537 | bilat=slat+(nlat-1)*rlat | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_prec.f90:538:12: 538 | bdlon=slon+(nlon-1)*rlon | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_prec.f90:613:12: 613 | rlx=rt*cos(rlt(ice)*pi/180.)*pi*rlon/180. | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_prec.f90:614:12: 614 | rly=rt*abs(rlat)*pi/180. | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_prec.f90:638:12: 638 | rlx=rt*cos(rlt(ice)*pi/180.)*pi*rlon/180. | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_prec.f90:639:12: 639 | rly=rt*abs(rlat)*pi/180. | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_prec.f90:100:15: 100 | integer annoa | 1~~~~ Warning: Unused variable ‘annoa’ declared at (1) [-Wunused-variable] downscaling_prec.f90:101:23: 101 | integer ior(nd),eqc(nptos) | 1~~~~~~~~~ Warning: Unused variable ‘eqc’ declared at (1) [-Wunused-variable] downscaling_prec.f90:104:15: 104 | integer est(nptos) | 1~~~~~~~~~ Warning: Unused variable ‘est’ declared at (1) [-Wunused-variable] downscaling_prec.f90:82:56: 82 | integer i1,i2,i3,i4,i7,iana,ice,ien,ipos,ips,ipu,ir,ire,iti,jk,k | 1~ Warning: Unused variable ‘ir’ declared at (1) [-Wunused-variable] downscaling_prec.f90:82:67: 82 | integer i1,i2,i3,i4,i7,iana,ice,ien,ipos,ips,ipu,ir,ire,iti,jk,k | 1~ Warning: Unused variable ‘jk’ declared at (1) [-Wunused-variable] downscaling_prec.f90:77:18: 77 | integer jt,jp | 1~ Warning: Unused variable ‘jp’ declared at (1) [-Wunused-variable] downscaling_prec.f90:77:15: 77 | integer jt,jp | 1~ Warning: Unused variable ‘jt’ declared at (1) [-Wunused-variable] downscaling_prec.f90:83:15: 83 | integer mesa,nan,nan2,nanf,nanv,nen,nmm,np | 1~~~ Warning: Unused variable ‘mesa’ declared at (1) [-Wunused-variable] downscaling_prec.f90:97:27: 97 | character sc*8,pt*9,nomeb*90 | 1~~~~ Warning: Unused variable ‘nomeb’ declared at (1) [-Wunused-variable] downscaling_prec.f90:75:15: 75 | integer nvar | 1~~~ Warning: Unused variable ‘nvar’ declared at (1) [-Wunused-variable] downscaling_prec.f90:97:22: 97 | character sc*8,pt*9,nomeb*90 | 1~ Warning: Unused variable ‘pt’ declared at (1) [-Wunused-variable] downscaling_prec.f90:89:36: 89 | integer anai(nanx),ana(nanx),puh(ic) | 1~~~~~~ Warning: Unused variable ‘puh’ declared at (1) [-Wunused-variable] downscaling_prec.f90:102:15: 102 | integer ref(nptos),puce(neni),puen(neni,5001) | 1~~~~~~~~~ Warning: Unused variable ‘ref’ declared at (1) [-Wunused-variable] downscaling_prec.f90:97:17: 97 | character sc*8,pt*9,nomeb*90 | 1~ Warning: Unused variable ‘sc’ declared at (1) [-Wunused-variable] downscaling_prec.f90:120:12: 120 | real Vdis(nptos,4) | 1~~~~~~~~~~~~ Warning: Array ‘vdis’ at (1) is larger than limit set by ‘-fmax-stack-var-size=’, moved from stack to static storage. This makes the procedure unsafe when called recursively, or concurrently from multiple threads. Consider increasing the ‘-fmax-stack-var-size=’ limit (or use ‘-frecursive’, which implies unlimited ‘-fmax-stack-var-size’) - or change the code to use an ALLOCATABLE array. If the variable is never accessed concurrently, this warning can be ignored, and the variable could also be declared with the SAVE attribute. [-Wsurprising] downscaling_prec.f90:119:15: 119 | integer Vref(nptos,4) | 1~~~~~~~~~~~~ Warning: Array ‘vref’ at (1) is larger than limit set by ‘-fmax-stack-var-size=’, moved from stack to static storage. This makes the procedure unsafe when called recursively, or concurrently from multiple threads. Consider increasing the ‘-fmax-stack-var-size=’ limit (or use ‘-frecursive’, which implies unlimited ‘-fmax-stack-var-size’) - or change the code to use an ALLOCATABLE array. If the variable is never accessed concurrently, this warning can be ignored, and the variable could also be declared with the SAVE attribute. [-Wsurprising] downscaling_prec.f90:832:18: 832 | peso3+peso4) | ^ Warning: ‘ien1’ may be used uninitialized [-Wmaybe-uninitialized] downscaling_prec.f90:125:15: 125 | integer ien1, ien2, ien3, ien4 | ^~~~ note: ‘ien1’ was declared here downscaling_prec.f90:832:18: 832 | peso3+peso4) | ^ Warning: ‘peso1’ may be used uninitialized [-Wmaybe-uninitialized] downscaling_prec.f90:123:12: 123 | real peso1, peso2, peso3, peso4 | ^~~~~ note: ‘peso1’ was declared here downscaling_prec.f90:832:18: 832 | peso3+peso4) | ^ Warning: ‘ien2’ may be used uninitialized [-Wmaybe-uninitialized] downscaling_prec.f90:125:21: 125 | integer ien1, ien2, ien3, ien4 | ^~~~ note: ‘ien2’ was declared here downscaling_prec.f90:832:18: 832 | peso3+peso4) | ^ Warning: ‘peso2’ may be used uninitialized [-Wmaybe-uninitialized] downscaling_prec.f90:123:19: 123 | real peso1, peso2, peso3, peso4 | ^~~~~ note: ‘peso2’ was declared here downscaling_prec.f90:832:18: 832 | peso3+peso4) | ^ Warning: ‘ien3’ may be used uninitialized [-Wmaybe-uninitialized] downscaling_prec.f90:125:27: 125 | integer ien1, ien2, ien3, ien4 | ^~~~ note: ‘ien3’ was declared here downscaling_prec.f90:832:18: 832 | peso3+peso4) | ^ Warning: ‘peso3’ may be used uninitialized [-Wmaybe-uninitialized] downscaling_prec.f90:123:26: 123 | real peso1, peso2, peso3, peso4 | ^~~~~ note: ‘peso3’ was declared here downscaling_prec.f90:832:18: 832 | peso3+peso4) | ^ Warning: ‘ien4’ may be used uninitialized [-Wmaybe-uninitialized] downscaling_prec.f90:125:33: 125 | integer ien1, ien2, ien3, ien4 | ^~~~ note: ‘ien4’ was declared here downscaling_prec.f90:832:18: 832 | peso3+peso4) | ^ Warning: ‘peso4’ may be used uninitialized [-Wmaybe-uninitialized] downscaling_prec.f90:123:33: 123 | real peso1, peso2, peso3, peso4 | ^~~~~ note: ‘peso4’ was declared here gfortran-15 -fpic -g -O2 -Wall -pedantic -mtune=native -c downscaling_temp.f90 -o downscaling_temp.o downscaling_temp.f90:590:5: 590 | 1203 CONTINUE | 1 Warning: Label 1203 at (1) defined but not used [-Wunused-label] downscaling_temp.f90:126:14: 126 | rlt(j)=slat+(((j-1)/nlon)*rlat) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_temp.f90:127:14: 127 | rln(j)=slon+((mod(j-1,nlon)+1-1)*rlon) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_temp.f90:154:15: 154 | rltt(j)=slatt+(((j-1)/nlont)*rlat) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_temp.f90:155:15: 155 | rlnt(j)=slont+((mod(j-1,nlont)+1-1)*rlon) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_temp.f90:163:16: 163 | Vdis(:,:)=vdmin(:,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_temp.f90:184:14: 184 | u9(:,:)=um(:,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_temp.f90:185:14: 185 | v9(:,:)=vm(:,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_temp.f90:186:14: 186 | u5(:,:)=u500(:,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_temp.f90:187:14: 187 | v5(:,:)=v500(:,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_temp.f90:188:15: 188 | psl(:,:)=msl_si(:,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_temp.f90:189:15: 189 | he7(:,:)=q700(:,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_temp.f90:190:14: 190 | t5(:,:)=t500(:,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_temp.f90:191:14: 191 | t8(:,:)=t850(:,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_temp.f90:192:14: 192 | t7(:,:)=t700(:,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_temp.f90:193:14: 193 | t2(:,:)=tm2m(:,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_temp.f90:197:14: 197 | inso(:)=insol(:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_temp.f90:306:16: 306 | tmxr(:,:)=tmx_hr(:,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_temp.f90:307:16: 307 | tmir(:,:)=tmn_hr(:,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_temp.f90:328:14: 328 | um5(:)=u500e(i,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_temp.f90:329:14: 329 | vm5(:)=v500e(i,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_temp.f90:330:14: 330 | t8m(:)=t850e(i,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_temp.f90:331:14: 331 | t7m(:)=t700e(i,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_temp.f90:332:14: 332 | t5m(:)=t500e(i,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_temp.f90:333:15: 333 | he7m(:)=q700e(i,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_temp.f90:334:14: 334 | t2m(:)=tm2me(i,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_temp.f90:335:15: 335 | pres(:)=msle(i,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_temp.f90:342:12: 342 | bilat=slat+(nlat-1)*rlat | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_temp.f90:343:12: 343 | bdlon=slon+(nlon-1)*rlon | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] downscaling_temp.f90:102:25: 102 | real ccmux(nptos),ccmui(nptos) | 1~~~~~~~~~~~ Warning: Unused variable ‘ccmui’ declared at (1) [-Wunused-variable] downscaling_temp.f90:102:12: 102 | real ccmux(nptos),ccmui(nptos) | 1~~~~~~~~~~~ Warning: Unused variable ‘ccmux’ declared at (1) [-Wunused-variable] downscaling_temp.f90:77:15: 77 | real sp,dd | 1~ Warning: Unused variable ‘dd’ declared at (1) [-Wunused-variable] downscaling_temp.f90:83:36: 83 | real disu5,disu9,disv5,disv9,dmin,dt,du5,du9,dv5,dv9,supo | 1~~~ Warning: Unused variable ‘dmin’ declared at (1) [-Wunused-variable] downscaling_temp.f90:83:41: 83 | real disu5,disu9,disv5,disv9,dmin,dt,du5,du9,dv5,dv9,supo | 1~ Warning: Unused variable ‘dt’ declared at (1) [-Wunused-variable] downscaling_temp.f90:83:44: 83 | real disu5,disu9,disv5,disv9,dmin,dt,du5,du9,dv5,dv9,supo | 1~~ Warning: Unused variable ‘du5’ declared at (1) [-Wunused-variable] downscaling_temp.f90:83:48: 83 | real disu5,disu9,disv5,disv9,dmin,dt,du5,du9,dv5,dv9,supo | 1~~ Warning: Unused variable ‘du9’ declared at (1) [-Wunused-variable] downscaling_temp.f90:83:52: 83 | real disu5,disu9,disv5,disv9,dmin,dt,du5,du9,dv5,dv9,supo | 1~~ Warning: Unused variable ‘dv5’ declared at (1) [-Wunused-variable] downscaling_temp.f90:83:56: 83 | real disu5,disu9,disv5,disv9,dmin,dt,du5,du9,dv5,dv9,supo | 1~~ Warning: Unused variable ‘dv9’ declared at (1) [-Wunused-variable] downscaling_temp.f90:92:12: 92 | real efan(nd,ic),psl(nd,ic),pslm(ic),t2(nd,ic),t2m(ic) | 1~~~~~~~~~~ Warning: Unused variable ‘efan’ declared at (1) [-Wunused-variable] downscaling_temp.f90:81:21: 81 | integer i1,i2,i3,i4,i7,iana,ice,ien,ipos,ips,ipu,ir,ire,iti,jk,k | 1~ Warning: Unused variable ‘i3’ declared at (1) [-Wunused-variable] downscaling_temp.f90:81:24: 81 | integer i1,i2,i3,i4,i7,iana,ice,ien,ipos,ips,ipu,ir,ire,iti,jk,k | 1~ Warning: Unused variable ‘i4’ declared at (1) [-Wunused-variable] downscaling_temp.f90:81:27: 81 | integer i1,i2,i3,i4,i7,iana,ice,ien,ipos,ips,ipu,ir,ire,iti,jk,k | 1~ Warning: Unused variable ‘i7’ declared at (1) [-Wunused-variable] downscaling_temp.f90:81:39: 81 | integer i1,i2,i3,i4,i7,iana,ice,ien,ipos,ips,ipu,ir,ire,iti,jk,k | 1~~ Warning: Unused variable ‘ien’ declared at (1) [-Wunused-variable] downscaling_temp.f90:76:15: 76 | integer ii,jp | 1~ Warning: Unused variable ‘ii’ declared at (1) [-Wunused-variable] downscaling_temp.f90:81:48: 81 | integer i1,i2,i3,i4,i7,iana,ice,ien,ipos,ips,ipu,ir,ire,iti,jk,k | 1~~ Warning: Unused variable ‘ips’ declared at (1) [-Wunused-variable] downscaling_temp.f90:81:56: 81 | integer i1,i2,i3,i4,i7,iana,ice,ien,ipos,ips,ipu,ir,ire,iti,jk,k | 1~ Warning: Unused variable ‘ir’ declared at (1) [-Wunused-variable] downscaling_temp.f90:79:28: 79 | integer jv,kk,kki,ik,it,kp,imes,ida,ida2,idia,mi,mm | 1~ Warning: Unused variable ‘it’ declared at (1) [-Wunused-variable] downscaling_temp.f90:81:63: 81 | integer i1,i2,i3,i4,i7,iana,ice,ien,ipos,ips,ipu,ir,ire,iti,jk,k | 1~~ Warning: Unused variable ‘iti’ declared at (1) [-Wunused-variable] downscaling_temp.f90:81:67: 81 | integer i1,i2,i3,i4,i7,iana,ice,ien,ipos,ips,ipu,ir,ire,iti,jk,k | 1~ Warning: Unused variable ‘jk’ declared at (1) [-Wunused-variable] downscaling_temp.f90:82:15: 82 | integer mesa,nan,nan2,nanf,nanv,nen,nmm,np | 1~~~ Warning: Unused variable ‘mesa’ declared at (1) [-Wunused-variable] downscaling_temp.f90:82:24: 82 | integer mesa,nan,nan2,nanf,nanv,nen,nmm,np | 1~~~ Warning: Unused variable ‘nan2’ declared at (1) [-Wunused-variable] downscaling_temp.f90:82:29: 82 | integer mesa,nan,nan2,nanf,nanv,nen,nmm,np | 1~~~ Warning: Unused variable ‘nanf’ declared at (1) [-Wunused-variable] downscaling_temp.f90:82:34: 82 | integer mesa,nan,nan2,nanf,nanv,nen,nmm,np | 1~~~ Warning: Unused variable ‘nanv’ declared at (1) [-Wunused-variable] downscaling_temp.f90:82:43: 82 | integer mesa,nan,nan2,nanf,nanv,nen,nmm,np | 1~~ Warning: Unused variable ‘nmm’ declared at (1) [-Wunused-variable] downscaling_temp.f90:82:47: 82 | integer mesa,nan,nan2,nanf,nanv,nen,nmm,np | 1~ Warning: Unused variable ‘np’ declared at (1) [-Wunused-variable] downscaling_temp.f90:86:22: 86 | character sc*8,pt*9 | 1~ Warning: Unused variable ‘pt’ declared at (1) [-Wunused-variable] downscaling_temp.f90:94:23: 94 | integer ior(nd),ref(nptos),puce(neni) | 1~~~~~~~~~ Warning: Unused variable ‘ref’ declared at (1) [-Wunused-variable] downscaling_temp.f90:86:17: 86 | character sc*8,pt*9 | 1~ Warning: Unused variable ‘sc’ declared at (1) [-Wunused-variable] downscaling_temp.f90:77:12: 77 | real sp,dd | 1~ Warning: Unused variable ‘sp’ declared at (1) [-Wunused-variable] downscaling_temp.f90:83:60: 83 | real disu5,disu9,disv5,disv9,dmin,dt,du5,du9,dv5,dv9,supo | 1~~~ Warning: Unused variable ‘supo’ declared at (1) [-Wunused-variable] downscaling_temp.f90:109:12: 109 | real Vdis(nptos,4) | 1~~~~~~~~~~~~ Warning: Array ‘vdis’ at (1) is larger than limit set by ‘-fmax-stack-var-size=’, moved from stack to static storage. This makes the procedure unsafe when called recursively, or concurrently from multiple threads. Consider increasing the ‘-fmax-stack-var-size=’ limit (or use ‘-frecursive’, which implies unlimited ‘-fmax-stack-var-size’) - or change the code to use an ALLOCATABLE array. If the variable is never accessed concurrently, this warning can be ignored, and the variable could also be declared with the SAVE attribute. [-Wsurprising] downscaling_temp.f90:84:12: 84 | real vorm,vorz | 1~~~ Warning: Unused variable ‘vorm’ declared at (1) [-Wunused-variable] downscaling_temp.f90:84:17: 84 | real vorm,vorz | 1~~~ Warning: Unused variable ‘vorz’ declared at (1) [-Wunused-variable] downscaling_temp.f90:108:15: 108 | integer Vref(nptos,4) | 1~~~~~~~~~~~~ Warning: Array ‘vref’ at (1) is larger than limit set by ‘-fmax-stack-var-size=’, moved from stack to static storage. This makes the procedure unsafe when called recursively, or concurrently from multiple threads. Consider increasing the ‘-fmax-stack-var-size=’ limit (or use ‘-frecursive’, which implies unlimited ‘-fmax-stack-var-size’) - or change the code to use an ALLOCATABLE array. If the variable is never accessed concurrently, this warning can be ignored, and the variable could also be declared with the SAVE attribute. [-Wsurprising] downscaling_temp.f90:523:49: 523 | pred1m(jp,ien3)*peso3+pred1m(jp,ien4)*peso4 | ^ Warning: ‘ien1’ may be used uninitialized [-Wmaybe-uninitialized] downscaling_temp.f90:113:15: 113 | integer ien1, ien2, ien3, ien4 | ^~~~ note: ‘ien1’ was declared here downscaling_temp.f90:543:68: 543 | pred1(jp,iana,ien4)*peso4 ) / (peso1+peso2+peso3+peso4) | ^ Warning: ‘peso1’ may be used uninitialized [-Wmaybe-uninitialized] downscaling_temp.f90:112:12: 112 | real peso1, peso2, peso3, peso4, calculin | ^~~~~ note: ‘peso1’ was declared here downscaling_temp.f90:523:49: 523 | pred1m(jp,ien3)*peso3+pred1m(jp,ien4)*peso4 | ^ Warning: ‘ien2’ may be used uninitialized [-Wmaybe-uninitialized] downscaling_temp.f90:113:21: 113 | integer ien1, ien2, ien3, ien4 | ^~~~ note: ‘ien2’ was declared here downscaling_temp.f90:543:68: 543 | pred1(jp,iana,ien4)*peso4 ) / (peso1+peso2+peso3+peso4) | ^ Warning: ‘peso2’ may be used uninitialized [-Wmaybe-uninitialized] downscaling_temp.f90:112:19: 112 | real peso1, peso2, peso3, peso4, calculin | ^~~~~ note: ‘peso2’ was declared here downscaling_temp.f90:523:49: 523 | pred1m(jp,ien3)*peso3+pred1m(jp,ien4)*peso4 | ^ Warning: ‘ien3’ may be used uninitialized [-Wmaybe-uninitialized] downscaling_temp.f90:113:27: 113 | integer ien1, ien2, ien3, ien4 | ^~~~ note: ‘ien3’ was declared here downscaling_temp.f90:543:68: 543 | pred1(jp,iana,ien4)*peso4 ) / (peso1+peso2+peso3+peso4) | ^ Warning: ‘peso3’ may be used uninitialized [-Wmaybe-uninitialized] downscaling_temp.f90:112:26: 112 | real peso1, peso2, peso3, peso4, calculin | ^~~~~ note: ‘peso3’ was declared here downscaling_temp.f90:523:49: 523 | pred1m(jp,ien3)*peso3+pred1m(jp,ien4)*peso4 | ^ Warning: ‘ien4’ may be used uninitialized [-Wmaybe-uninitialized] downscaling_temp.f90:113:33: 113 | integer ien1, ien2, ien3, ien4 | ^~~~ note: ‘ien4’ was declared here downscaling_temp.f90:543:68: 543 | pred1(jp,iana,ien4)*peso4 ) / (peso1+peso2+peso3+peso4) | ^ Warning: ‘peso4’ may be used uninitialized [-Wmaybe-uninitialized] downscaling_temp.f90:112:33: 112 | real peso1, peso2, peso3, peso4, calculin | ^~~~~ note: ‘peso4’ was declared here downscaling_temp.f90:582:40: 582 | tmxes(i,ipu)=tmxr(ana(kki),ipu) | ^ Warning: ‘kki’ may be used uninitialized [-Wmaybe-uninitialized] downscaling_temp.f90:79:21: 79 | integer jv,kk,kki,ik,it,kp,imes,ida,ida2,idia,mi,mm | ^~~ note: ‘kki’ was declared here gfortran-15 -fpic -g -O2 -Wall -pedantic -mtune=native -c insol.f90 -o insol.o gfortran-15 -fpic -g -O2 -Wall -pedantic -mtune=native -c predictores_significativos.f90 -o predictores_significativos.o predictores_significativos.f90:114:14: 114 | rlt(j)=slat+(((j-1)/nlon)*rlat) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] predictores_significativos.f90:115:14: 115 | rln(j)=slon+((mod(j-1,nlon)+1-1)*rlon) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] predictores_significativos.f90:140:15: 140 | rltt(j)=slatt+(((j-1)/nlont)*rlat) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] predictores_significativos.f90:141:15: 141 | rlnt(j)=slont+((mod(j-1,nlont)+1-1)*rlon) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] predictores_significativos.f90:149:15: 149 | psl(:,:)=msl_si(:,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] predictores_significativos.f90:150:15: 150 | he7(:,:)=q700(:,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] predictores_significativos.f90:151:14: 151 | t5(:,:)=t500(:,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] predictores_significativos.f90:152:14: 152 | t8(:,:)=t850(:,:) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] predictores_significativos.f90:157:16: 157 | prec(:,:)=prec_hr(:,:)*10. | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] predictores_significativos.f90:163:15: 163 | ser(i)=um(i,j) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] predictores_significativos.f90:169:15: 169 | ser(i)=vm(i,j) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] predictores_significativos.f90:175:15: 175 | ser(i)=u5(i,j) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] predictores_significativos.f90:181:15: 181 | ser(i)=v5(i,j) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] predictores_significativos.f90:311:12: 311 | rlx=rt*cos(rlt(ice)*pi/180.)*pi*rlon/180. | 1 Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1) [-Wconversion] predictores_significativos.f90:312:12: 312 | rly=rt*abs(rlat)*pi/180. | 1 Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1) [-Wconversion] predictores_significativos.f90:313:13: 313 | vorm=um(i,ice-nlon)-um(i,ice+nlon) | 1 Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1) [-Wconversion] predictores_significativos.f90:314:13: 314 | vorm=vorm/(2.*rly) | 1 Warning: Possible change of value in conversion from REAL(4) to INTEGER(4) at (1) [-Wconversion] predictores_significativos.f90:315:13: 315 | vorz=vm(i,ice+1)-vm(i,ice-1) | 1 Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1) [-Wconversion] predictores_significativos.f90:316:13: 316 | vorz=vorz/(2.*rlx) | 1 Warning: Possible change of value in conversion from REAL(4) to INTEGER(4) at (1) [-Wconversion] predictores_significativos.f90:337:21: 337 | pred1(5,i,j)=um(i,ice) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] predictores_significativos.f90:338:21: 338 | pred1(6,i,j)=vm(i,ice) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] predictores_significativos.f90:369:12: 369 | rlx=rt*cos(rlt(ice)*pi/180.)*pi*rlon/180. | 1 Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1) [-Wconversion] predictores_significativos.f90:370:12: 370 | rly=rt*abs(rlat)*pi/180. | 1 Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1) [-Wconversion] predictores_significativos.f90:371:13: 371 | vorm=u5(i,ice-nlon)-u5(i,ice+nlon) | 1 Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1) [-Wconversion] predictores_significativos.f90:372:13: 372 | vorm=vorm/(2.*rly) | 1 Warning: Possible change of value in conversion from REAL(4) to INTEGER(4) at (1) [-Wconversion] predictores_significativos.f90:373:13: 373 | vorz=v5(i,ice+1)-v5(i,ice-1) | 1 Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1) [-Wconversion] predictores_significativos.f90:374:13: 374 | vorz=vorz/(2.*rlx) | 1 Warning: Possible change of value in conversion from REAL(4) to INTEGER(4) at (1) [-Wconversion] predictores_significativos.f90:397:21: 397 | pred1(8,i,j)=u5(i,ice) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] predictores_significativos.f90:398:21: 398 | pred1(9,i,j)=v5(i,ice) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] predictores_significativos.f90:459:17: 459 | ut9(i,j)=(gu92(i,j)-mu9(j))/su9(j) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] predictores_significativos.f90:460:17: 460 | vt9(i,j)=(gv92(i,j)-mv9(j))/sv9(j) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] predictores_significativos.f90:461:17: 461 | ut5(i,j)=(gu52(i,j)-mu5(j))/su5(j) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] predictores_significativos.f90:462:17: 462 | vt5(i,j)=(gv52(i,j)-mv5(j))/sv5(j) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] predictores_significativos.f90:96:12: 96 | real aaa(nanx) | 1~~~~~~~~ Warning: Unused variable ‘aaa’ declared at (1) [-Wunused-variable] predictores_significativos.f90:84:22: 84 | integer ior(n),anno,mes,dia,eqc(nptos) | 1~~~ Warning: Unused variable ‘anno’ declared at (1) [-Wunused-variable] predictores_significativos.f90:83:15: 83 | integer annor(n),mesr(n),diar(n) | 1~~~~~~~ Warning: Unused variable ‘annor’ declared at (1) [-Wunused-variable] predictores_significativos.f90:76:21: 76 | real pres(id),bar(id),den(ic) | 1~~~~~~ Warning: Unused variable ‘bar’ declared at (1) [-Wunused-variable] predictores_significativos.f90:76:29: 76 | real pres(id),bar(id),den(ic) | 1~~~~~~ Warning: Unused variable ‘den’ declared at (1) [-Wunused-variable] predictores_significativos.f90:84:31: 84 | integer ior(n),anno,mes,dia,eqc(nptos) | 1~~ Warning: Unused variable ‘dia’ declared at (1) [-Wunused-variable] predictores_significativos.f90:83:32: 83 | integer annor(n),mesr(n),diar(n) | 1~~~~~~ Warning: Unused variable ‘diar’ declared at (1) [-Wunused-variable] predictores_significativos.f90:95:12: 95 | real dist(nanx),dist1(npx,nanx),serin(nanx) | 1~~~~~~~~~ Warning: Unused variable ‘dist’ declared at (1) [-Wunused-variable] predictores_significativos.f90:95:23: 95 | real dist(nanx),dist1(npx,nanx),serin(nanx) | 1~~~~~~~~~~~~~~ Warning: Unused variable ‘dist1’ declared at (1) [-Wunused-variable] predictores_significativos.f90:84:35: 84 | integer ior(n),anno,mes,dia,eqc(nptos) | 1~~~~~~~~~ Warning: Unused variable ‘eqc’ declared at (1) [-Wunused-variable] predictores_significativos.f90:72:28: 72 | character (len=6) :: he7ca(id) | 1~~~~~~~~ Warning: Unused variable ‘he7ca’ declared at (1) [-Wunused-variable] predictores_significativos.f90:63:22: 63 | real he7(n,ic),he7m(ic) | 1~~~~~~~ Warning: Unused variable ‘he7m’ declared at (1) [-Wunused-variable] predictores_significativos.f90:75:12: 75 | real he7me(24) | 1~~~~~~~~ Warning: Unused variable ‘he7me’ declared at (1) [-Wunused-variable] predictores_significativos.f90:70:38: 70 | real ue5(id),ve5(id),he7ms(ic),he7mr(id) | 1~~~~~~~~ Warning: Unused variable ‘he7mr’ declared at (1) [-Wunused-variable] predictores_significativos.f90:70:28: 70 | real ue5(id),ve5(id),he7ms(ic),he7mr(id) | 1~~~~~~~~ Warning: Unused variable ‘he7ms’ declared at (1) [-Wunused-variable] predictores_significativos.f90:55:40: 55 | integer nulon,nulat,nulev,nudays,ideb,ifin,ip | 1~~~ Warning: Unused variable ‘ideb’ declared at (1) [-Wunused-variable] predictores_significativos.f90:55:45: 55 | integer nulon,nulat,nulev,nudays,ideb,ifin,ip | 1~~~ Warning: Unused variable ‘ifin’ declared at (1) [-Wunused-variable] predictores_significativos.f90:82:15: 82 | integer indi1(ic),indi2(ic) | 1~~~~~~~~ Warning: Unused variable ‘indi1’ declared at (1) [-Wunused-variable] predictores_significativos.f90:82:25: 82 | integer indi1(ic),indi2(ic) | 1~~~~~~~~ Warning: Unused variable ‘indi2’ declared at (1) [-Wunused-variable] predictores_significativos.f90:55:50: 55 | integer nulon,nulat,nulev,nudays,ideb,ifin,ip | 1~ Warning: Unused variable ‘ip’ declared at (1) [-Wunused-variable] predictores_significativos.f90:87:49: 87 | integer i1,i2,i3,i4,iana,ice,ien,ipos,ipu,ir,iv,jk,k,nan,ndcp | 1~ Warning: Unused variable ‘ir’ declared at (1) [-Wunused-variable] predictores_significativos.f90:57:15: 57 | integer is | 1~ Warning: Unused variable ‘is’ declared at (1) [-Wunused-variable] predictores_significativos.f90:87:52: 87 | integer i1,i2,i3,i4,iana,ice,ien,ipos,ipu,ir,iv,jk,k,nan,ndcp | 1~ Warning: Unused variable ‘iv’ declared at (1) [-Wunused-variable] predictores_significativos.f90:87:55: 87 | integer i1,i2,i3,i4,iana,ice,ien,ipos,ipu,ir,iv,jk,k,nan,ndcp | 1~ Warning: Unused variable ‘jk’ declared at (1) [-Wunused-variable] predictores_significativos.f90:62:17: 62 | character mdl*20,sc*8,pt*9,nomeb*90,nomef*90,ta*3,nta*1 | 1~~ Warning: Unused variable ‘mdl’ declared at (1) [-Wunused-variable] predictores_significativos.f90:98:18: 98 | real md,sg,medh(neni),sigh(neni) | 1~~~~~~~~~ Warning: Unused variable ‘medh’ declared at (1) [-Wunused-variable] predictores_significativos.f90:84:27: 84 | integer ior(n),anno,mes,dia,eqc(nptos) | 1~~ Warning: Unused variable ‘mes’ declared at (1) [-Wunused-variable] predictores_significativos.f90:83:24: 83 | integer annor(n),mesr(n),diar(n) | 1~~~~~~ Warning: Unused variable ‘mesr’ declared at (1) [-Wunused-variable] predictores_significativos.f90:4:23: 4 | SUBROUTINE sig_predic(nlat,nlon,nlatt,nlont,slat,slon,rlat,rlon,slatt,& | 1~~~ Warning: Unused dummy argument ‘nlat’ at (1) [-Wunused-dummy-argument] predictores_significativos.f90:4:33: 4 | SUBROUTINE sig_predic(nlat,nlon,nlatt,nlont,slat,slon,rlat,rlon,slatt,& | 1~~~~ Warning: Unused dummy argument ‘nlatt’ at (1) [-Wunused-dummy-argument] predictores_significativos.f90:62:34: 62 | character mdl*20,sc*8,pt*9,nomeb*90,nomef*90,ta*3,nta*1 | 1~~~~ Warning: Unused variable ‘nomeb’ declared at (1) [-Wunused-variable] predictores_significativos.f90:62:43: 62 | character mdl*20,sc*8,pt*9,nomeb*90,nomef*90,ta*3,nta*1 | 1~~~~ Warning: Unused variable ‘nomef’ declared at (1) [-Wunused-variable] predictores_significativos.f90:81:15: 81 | integer nor(nanx) | 1~~~~~~~~ Warning: Unused variable ‘nor’ declared at (1) [-Wunused-variable] predictores_significativos.f90:62:57: 62 | character mdl*20,sc*8,pt*9,nomeb*90,nomef*90,ta*3,nta*1 | 1~~ Warning: Unused variable ‘nta’ declared at (1) [-Wunused-variable] predictores_significativos.f90:55:33: 55 | integer nulon,nulat,nulev,nudays,ideb,ifin,ip | 1~~~~~ Warning: Unused variable ‘nudays’ declared at (1) [-Wunused-variable] predictores_significativos.f90:55:21: 55 | integer nulon,nulat,nulev,nudays,ideb,ifin,ip | 1~~~~ Warning: Unused variable ‘nulat’ declared at (1) [-Wunused-variable] predictores_significativos.f90:55:27: 55 | integer nulon,nulat,nulev,nudays,ideb,ifin,ip | 1~~~~ Warning: Unused variable ‘nulev’ declared at (1) [-Wunused-variable] predictores_significativos.f90:55:15: 55 | integer nulon,nulat,nulev,nudays,ideb,ifin,ip | 1~~~~ Warning: Unused variable ‘nulon’ declared at (1) [-Wunused-variable] predictores_significativos.f90:77:30: 77 | real pred1(npx,n,neni),pred1m(npx,neni),predh(n,neni),predhm(neni) | 1~~~~~~~~~~~~~~~ Warning: Unused variable ‘pred1m’ declared at (1) [-Wunused-variable] predictores_significativos.f90:77:47: 77 | real pred1(npx,n,neni),pred1m(npx,neni),predh(n,neni),predhm(neni) | 1~~~~~~~~~~~~ Warning: Unused variable ‘predh’ declared at (1) [-Wunused-variable] predictores_significativos.f90:77:61: 77 | real pred1(npx,n,neni),pred1m(npx,neni),predh(n,neni),predhm(neni) | 1~~~~~~~~~~~ Warning: Unused variable ‘predhm’ declared at (1) [-Wunused-variable] predictores_significativos.f90:76:12: 76 | real pres(id),bar(id),den(ic) | 1~~~~~~~ Warning: Unused variable ‘pres’ declared at (1) [-Wunused-variable] predictores_significativos.f90:66:12: 66 | real presor(n,id) | 1~~~~~~~~~~~ Warning: Unused variable ‘presor’ declared at (1) [-Wunused-variable] predictores_significativos.f90:65:74: 65 | real psl(n,ic),ut9(nger,ic),vt9(nger,ic),ut5(nger,ic),vt5(nger,ic),pseal(id) | 1~~~~~~~~ Warning: Unused variable ‘pseal’ declared at (1) [-Wunused-variable] predictores_significativos.f90:69:12: 69 | real pslm(ic),um9(ic),vm9(ic),um5(ic),vm5(ic),pslma(ic) | 1~~~~~~~ Warning: Unused variable ‘pslm’ declared at (1) [-Wunused-variable] predictores_significativos.f90:69:53: 69 | real pslm(ic),um9(ic),vm9(ic),um5(ic),vm5(ic),pslma(ic) | 1~~~~~~~~ Warning: Unused variable ‘pslma’ declared at (1) [-Wunused-variable] predictores_significativos.f90:62:29: 62 | character mdl*20,sc*8,pt*9,nomeb*90,nomef*90,ta*3,nta*1 | 1~ Warning: Unused variable ‘pt’ declared at (1) [-Wunused-variable] predictores_significativos.f90:85:15: 85 | integer ref(nptos),puce(neni),puen(neni,5001) | 1~~~~~~~~~ Warning: Array ‘ref’ at (1) is larger than limit set by ‘-fmax-stack-var-size=’, moved from stack to static storage. This makes the procedure unsafe when called recursively, or concurrently from multiple threads. Consider increasing the ‘-fmax-stack-var-size=’ limit (or use ‘-frecursive’, which implies unlimited ‘-fmax-stack-var-size’) - or change the code to use an ALLOCATABLE array. If the variable is never accessed concurrently, this warning can be ignored, and the variable could also be declared with the SAVE attribute. [-Wsurprising] predictores_significativos.f90:62:24: 62 | character mdl*20,sc*8,pt*9,nomeb*90,nomef*90,ta*3,nta*1 | 1~ Warning: Unused variable ‘sc’ declared at (1) [-Wunused-variable] predictores_significativos.f90:95:39: 95 | real dist(nanx),dist1(npx,nanx),serin(nanx) | 1~~~~~~~~~~ Warning: Unused variable ‘serin’ declared at (1) [-Wunused-variable] predictores_significativos.f90:98:29: 98 | real md,sg,medh(neni),sigh(neni) | 1~~~~~~~~~ Warning: Unused variable ‘sigh’ declared at (1) [-Wunused-variable] predictores_significativos.f90:73:28: 73 | character (len=6) :: t8ca(id) | 1~~~~~~~ Warning: Unused variable ‘t8ca’ declared at (1) [-Wunused-variable] predictores_significativos.f90:62:52: 62 | character mdl*20,sc*8,pt*9,nomeb*90,nomef*90,ta*3,nta*1 | 1~ Warning: Unused variable ‘ta’ declared at (1) [-Wunused-variable] predictores_significativos.f90:74:20: 74 | real te8(id),te5(id) | 1~~~~~~ Warning: Unused variable ‘te5’ declared at (1) [-Wunused-variable] predictores_significativos.f90:74:12: 74 | real te8(id),te5(id) | 1~~~~~~ Warning: Unused variable ‘te8’ declared at (1) [-Wunused-variable] predictores_significativos.f90:68:30: 68 | real t5(n,ic),t8(n,ic),tm5(ic),tm8(ic) | 1~~~~~~ Warning: Unused variable ‘tm5’ declared at (1) [-Wunused-variable] predictores_significativos.f90:68:38: 68 | real t5(n,ic),t8(n,ic),tm5(ic),tm8(ic) | 1~~~~~~ Warning: Unused variable ‘tm8’ declared at (1) [-Wunused-variable] predictores_significativos.f90:70:12: 70 | real ue5(id),ve5(id),he7ms(ic),he7mr(id) | 1~~~~~~ Warning: Unused variable ‘ue5’ declared at (1) [-Wunused-variable] predictores_significativos.f90:69:37: 69 | real pslm(ic),um9(ic),vm9(ic),um5(ic),vm5(ic),pslma(ic) | 1~~~~~~ Warning: Unused variable ‘um5’ declared at (1) [-Wunused-variable] predictores_significativos.f90:69:21: 69 | real pslm(ic),um9(ic),vm9(ic),um5(ic),vm5(ic),pslma(ic) | 1~~~~~~ Warning: Unused variable ‘um9’ declared at (1) [-Wunused-variable] predictores_significativos.f90:70:20: 70 | real ue5(id),ve5(id),he7ms(ic),he7mr(id) | 1~~~~~~ Warning: Unused variable ‘ve5’ declared at (1) [-Wunused-variable] predictores_significativos.f90:69:45: 69 | real pslm(ic),um9(ic),vm9(ic),um5(ic),vm5(ic),pslma(ic) | 1~~~~~~ Warning: Unused variable ‘vm5’ declared at (1) [-Wunused-variable] predictores_significativos.f90:69:29: 69 | real pslm(ic),um9(ic),vm9(ic),um5(ic),vm5(ic),pslma(ic) | 1~~~~~~ Warning: Unused variable ‘vm9’ declared at (1) [-Wunused-variable] predictores_significativos.f90:67:12: 67 | real xlat(ic),xlon(ic) | 1~~~~~~~ Warning: Unused variable ‘xlat’ declared at (1) [-Wunused-variable] predictores_significativos.f90:67:21: 67 | real xlat(ic),xlon(ic) | 1~~~~~~~ Warning: Unused variable ‘xlon’ declared at (1) [-Wunused-variable] gfortran-15 -fpic -g -O2 -Wall -pedantic -mtune=native -c pts_ref_est_pen.f90 -o pts_ref_est_pen.o pts_ref_est_pen.f90:20:50: 20 | real xe(nptos),ye(nptos),xr(ic),yr(ic),dis,dmin(nptos) | 1~~~~~~~~~~ Warning: Array ‘dmin’ at (1) is larger than limit set by ‘-fmax-stack-var-size=’, moved from stack to static storage. This makes the procedure unsafe when called recursively, or concurrently from multiple threads. Consider increasing the ‘-fmax-stack-var-size=’ limit (or use ‘-frecursive’, which implies unlimited ‘-fmax-stack-var-size’) - or change the code to use an ALLOCATABLE array. If the variable is never accessed concurrently, this warning can be ignored, and the variable could also be declared with the SAVE attribute. [-Wsurprising] pts_ref_est_pen.f90:21:15: 21 | integer valores_unicos(nptos+1) | 1~~~~~~~~~~~~~~~~~~~~~~ Warning: Array ‘valores_unicos’ at (1) is larger than limit set by ‘-fmax-stack-var-size=’, moved from stack to static storage. This makes the procedure unsafe when called recursively, or concurrently from multiple threads. Consider increasing the ‘-fmax-stack-var-size=’ limit (or use ‘-frecursive’, which implies unlimited ‘-fmax-stack-var-size’) - or change the code to use an ALLOCATABLE array. If the variable is never accessed concurrently, this warning can be ignored, and the variable could also be declared with the SAVE attribute. [-Wsurprising] pts_ref_est_pen.f90:20:12: 20 | real xe(nptos),ye(nptos),xr(ic),yr(ic),dis,dmin(nptos) | 1~~~~~~~~ Warning: Array ‘xe’ at (1) is larger than limit set by ‘-fmax-stack-var-size=’, moved from stack to static storage. This makes the procedure unsafe when called recursively, or concurrently from multiple threads. Consider increasing the ‘-fmax-stack-var-size=’ limit (or use ‘-frecursive’, which implies unlimited ‘-fmax-stack-var-size’) - or change the code to use an ALLOCATABLE array. If the variable is never accessed concurrently, this warning can be ignored, and the variable could also be declared with the SAVE attribute. [-Wsurprising] pts_ref_est_pen.f90:20:22: 20 | real xe(nptos),ye(nptos),xr(ic),yr(ic),dis,dmin(nptos) | 1~~~~~~~~ Warning: Array ‘ye’ at (1) is larger than limit set by ‘-fmax-stack-var-size=’, moved from stack to static storage. This makes the procedure unsafe when called recursively, or concurrently from multiple threads. Consider increasing the ‘-fmax-stack-var-size=’ limit (or use ‘-frecursive’, which implies unlimited ‘-fmax-stack-var-size’) - or change the code to use an ALLOCATABLE array. If the variable is never accessed concurrently, this warning can be ignored, and the variable could also be declared with the SAVE attribute. [-Wsurprising] gfortran-15 -fpic -g -O2 -Wall -pedantic -mtune=native -c pts_ref_est_pen_4int.f90 -o pts_ref_est_pen_4int.o pts_ref_est_pen_4int.f90:26:12: 26 | real copiaXr(nptos),copiaYr(nptos) | 1~~~~~~~~~~~~~ Warning: Array ‘copiaxr’ at (1) is larger than limit set by ‘-fmax-stack-var-size=’, moved from stack to static storage. This makes the procedure unsafe when called recursively, or concurrently from multiple threads. Consider increasing the ‘-fmax-stack-var-size=’ limit (or use ‘-frecursive’, which implies unlimited ‘-fmax-stack-var-size’) - or change the code to use an ALLOCATABLE array. If the variable is never accessed concurrently, this warning can be ignored, and the variable could also be declared with the SAVE attribute. [-Wsurprising] pts_ref_est_pen_4int.f90:26:27: 26 | real copiaXr(nptos),copiaYr(nptos) | 1~~~~~~~~~~~~~ Warning: Array ‘copiayr’ at (1) is larger than limit set by ‘-fmax-stack-var-size=’, moved from stack to static storage. This makes the procedure unsafe when called recursively, or concurrently from multiple threads. Consider increasing the ‘-fmax-stack-var-size=’ limit (or use ‘-frecursive’, which implies unlimited ‘-fmax-stack-var-size’) - or change the code to use an ALLOCATABLE array. If the variable is never accessed concurrently, this warning can be ignored, and the variable could also be declared with the SAVE attribute. [-Wsurprising] pts_ref_est_pen_4int.f90:27:15: 27 | integer valores_unicos(nptos+1) | 1~~~~~~~~~~~~~~~~~~~~~~ Warning: Array ‘valores_unicos’ at (1) is larger than limit set by ‘-fmax-stack-var-size=’, moved from stack to static storage. This makes the procedure unsafe when called recursively, or concurrently from multiple threads. Consider increasing the ‘-fmax-stack-var-size=’ limit (or use ‘-frecursive’, which implies unlimited ‘-fmax-stack-var-size’) - or change the code to use an ALLOCATABLE array. If the variable is never accessed concurrently, this warning can be ignored, and the variable could also be declared with the SAVE attribute. [-Wsurprising] pts_ref_est_pen_4int.f90:25:12: 25 | real xe(nptos),ye(nptos),xr(ic),yr(ic),dis | 1~~~~~~~~ Warning: Array ‘xe’ at (1) is larger than limit set by ‘-fmax-stack-var-size=’, moved from stack to static storage. This makes the procedure unsafe when called recursively, or concurrently from multiple threads. Consider increasing the ‘-fmax-stack-var-size=’ limit (or use ‘-frecursive’, which implies unlimited ‘-fmax-stack-var-size’) - or change the code to use an ALLOCATABLE array. If the variable is never accessed concurrently, this warning can be ignored, and the variable could also be declared with the SAVE attribute. [-Wsurprising] pts_ref_est_pen_4int.f90:25:22: 25 | real xe(nptos),ye(nptos),xr(ic),yr(ic),dis | 1~~~~~~~~ Warning: Array ‘ye’ at (1) is larger than limit set by ‘-fmax-stack-var-size=’, moved from stack to static storage. This makes the procedure unsafe when called recursively, or concurrently from multiple threads. Consider increasing the ‘-fmax-stack-var-size=’ limit (or use ‘-frecursive’, which implies unlimited ‘-fmax-stack-var-size’) - or change the code to use an ALLOCATABLE array. If the variable is never accessed concurrently, this warning can be ignored, and the variable could also be declared with the SAVE attribute. [-Wsurprising] pts_ref_est_pen_4int.f90:22:15: 22 | integer iri | ^~~ Warning: ‘iri’ may be used uninitialized [-Wmaybe-uninitialized] gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c registerDynamicSymbol.c -o registerDynamicSymbol.o gfortran-15 -fpic -g -O2 -Wall -pedantic -mtune=native -c training_part1_prec.f90 -o training_part1_prec.o training_part1_prec.f90:5:32: 5 | um,vm,insol,gu92,gv92,gu52,gv52,nger) | 1~~~~ Warning: Dummy argument ‘insol’ at (1) was declared INTENT(OUT) but was not set [-Wunused-dummy-argument] gfortran-15 -fpic -g -O2 -Wall -pedantic -mtune=native -c training_part2_prec.f90 -o training_part2_prec.o training_part2_prec.f90:95:12: 95 | integer :: iri(nptos) | 1~~~~~~~~~ Warning: Array ‘iri’ at (1) is larger than limit set by ‘-fmax-stack-var-size=’, moved from stack to static storage. This makes the procedure unsafe when called recursively, or concurrently from multiple threads. Consider increasing the ‘-fmax-stack-var-size=’ limit (or use ‘-frecursive’, which implies unlimited ‘-fmax-stack-var-size’) - or change the code to use an ALLOCATABLE array. If the variable is never accessed concurrently, this warning can be ignored, and the variable could also be declared with the SAVE attribute. [-Wsurprising] training_part2_prec.f90:92:9: 92 | real :: xcand(nptos) | 1~~~~~~~~~~~ Warning: Array ‘xcand’ at (1) is larger than limit set by ‘-fmax-stack-var-size=’, moved from stack to static storage. This makes the procedure unsafe when called recursively, or concurrently from multiple threads. Consider increasing the ‘-fmax-stack-var-size=’ limit (or use ‘-frecursive’, which implies unlimited ‘-fmax-stack-var-size’) - or change the code to use an ALLOCATABLE array. If the variable is never accessed concurrently, this warning can be ignored, and the variable could also be declared with the SAVE attribute. [-Wsurprising] training_part2_prec.f90:93:9: 93 | real :: ycand(nptos) | 1~~~~~~~~~~~ Warning: Array ‘ycand’ at (1) is larger than limit set by ‘-fmax-stack-var-size=’, moved from stack to static storage. This makes the procedure unsafe when called recursively, or concurrently from multiple threads. Consider increasing the ‘-fmax-stack-var-size=’ limit (or use ‘-frecursive’, which implies unlimited ‘-fmax-stack-var-size’) - or change the code to use an ALLOCATABLE array. If the variable is never accessed concurrently, this warning can be ignored, and the variable could also be declared with the SAVE attribute. [-Wsurprising] gfortran-15 -fpic -g -O2 -Wall -pedantic -mtune=native -c training_temp.f90 -o training_temp.o training_temp.f90:79:9: 79 | real :: xcand(nptos) | 1~~~~~~~~~~~ Warning: Array ‘xcand’ at (1) is larger than limit set by ‘-fmax-stack-var-size=’, moved from stack to static storage. This makes the procedure unsafe when called recursively, or concurrently from multiple threads. Consider increasing the ‘-fmax-stack-var-size=’ limit (or use ‘-frecursive’, which implies unlimited ‘-fmax-stack-var-size’) - or change the code to use an ALLOCATABLE array. If the variable is never accessed concurrently, this warning can be ignored, and the variable could also be declared with the SAVE attribute. [-Wsurprising] training_temp.f90:80:9: 80 | real :: ycand(nptos) | 1~~~~~~~~~~~ Warning: Array ‘ycand’ at (1) is larger than limit set by ‘-fmax-stack-var-size=’, moved from stack to static storage. This makes the procedure unsafe when called recursively, or concurrently from multiple threads. Consider increasing the ‘-fmax-stack-var-size=’ limit (or use ‘-frecursive’, which implies unlimited ‘-fmax-stack-var-size’) - or change the code to use an ALLOCATABLE array. If the variable is never accessed concurrently, this warning can be ignored, and the variable could also be declared with the SAVE attribute. [-Wsurprising] gcc-15 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o CSTools.so calc_geoswind.o calc_utm_rej_era5_penin.o calc_utmcandelasgrid.o calculo_tempes_densi_sealevel.o clasif_era_pen_kmeans.o downscaling_prec.o downscaling_temp.o insol.o mod_csts.o mod_funcs.o predictores_significativos.o pts_ref_est_pen.o pts_ref_est_pen_4int.o registerDynamicSymbol.o training_part1_prec.o training_part2_prec.o training_temp.o -lgfortran -lm -lquadmath -L/home/hornik/tmp/R/lib -lR make[2]: Entering directory '/home/hornik/tmp/scratch/RtmpbP7l7m/R.INSTALL343bf374ca4264/CSTools/src' make[2]: Nothing to be done for 'CSTools.so'. make[2]: Leaving directory '/home/hornik/tmp/scratch/RtmpbP7l7m/R.INSTALL343bf374ca4264/CSTools/src' make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpbP7l7m/R.INSTALL343bf374ca4264/CSTools/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-CSTools/00new/CSTools/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (CSTools) * installing *source* package ‘bigsnpr’ ... ** this is package ‘bigsnpr’ version ‘1.12.21’ ** package ‘bigsnpr’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-15 (Debian 15.2.0-12) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmpay8eqo/R.INSTALL34315121d64523/bigsnpr/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_recheck/Library/bigsparser/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/bigstatsr/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/rmio/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/roptim/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -DARMA_DONT_PRINT_OPENMP_WARNING -DARMA_DONT_PRINT_CXX11_WARNING -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_recheck/Library/bigsparser/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/bigstatsr/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/rmio/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/roptim/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -DARMA_DONT_PRINT_OPENMP_WARNING -DARMA_DONT_PRINT_CXX11_WARNING -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c bed-acc-xptr.cpp -o bed-acc-xptr.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_recheck/Library/bigsparser/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/bigstatsr/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/rmio/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/roptim/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -DARMA_DONT_PRINT_OPENMP_WARNING -DARMA_DONT_PRINT_CXX11_WARNING -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c bed-fun.cpp -o bed-fun.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_recheck/Library/bigsparser/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/bigstatsr/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/rmio/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/roptim/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -DARMA_DONT_PRINT_OPENMP_WARNING -DARMA_DONT_PRINT_CXX11_WARNING -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c bed-mat-acc.cpp -o bed-mat-acc.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_recheck/Library/bigsparser/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/bigstatsr/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/rmio/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/roptim/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -DARMA_DONT_PRINT_OPENMP_WARNING -DARMA_DONT_PRINT_CXX11_WARNING -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c bed-prod-vec.cpp -o bed-prod-vec.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_recheck/Library/bigsparser/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/bigstatsr/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/rmio/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/roptim/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -DARMA_DONT_PRINT_OPENMP_WARNING -DARMA_DONT_PRINT_CXX11_WARNING -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c clumping-bed.cpp -o clumping-bed.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_recheck/Library/bigsparser/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/bigstatsr/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/rmio/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/roptim/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -DARMA_DONT_PRINT_OPENMP_WARNING -DARMA_DONT_PRINT_CXX11_WARNING -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c clumping-cached.cpp -o clumping-cached.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_recheck/Library/bigsparser/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/bigstatsr/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/rmio/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/roptim/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -DARMA_DONT_PRINT_OPENMP_WARNING -DARMA_DONT_PRINT_CXX11_WARNING -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c clumping.cpp -o clumping.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_recheck/Library/bigsparser/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/bigstatsr/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/rmio/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/roptim/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -DARMA_DONT_PRINT_OPENMP_WARNING -DARMA_DONT_PRINT_CXX11_WARNING -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c colstats.cpp -o colstats.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_recheck/Library/bigsparser/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/bigstatsr/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/rmio/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/roptim/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -DARMA_DONT_PRINT_OPENMP_WARNING -DARMA_DONT_PRINT_CXX11_WARNING -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c copy-subset.cpp -o copy-subset.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_recheck/Library/bigsparser/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/bigstatsr/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/rmio/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/roptim/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -DARMA_DONT_PRINT_OPENMP_WARNING -DARMA_DONT_PRINT_CXX11_WARNING -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c corr.cpp -o corr.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_recheck/Library/bigsparser/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/bigstatsr/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/rmio/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/roptim/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -DARMA_DONT_PRINT_OPENMP_WARNING -DARMA_DONT_PRINT_CXX11_WARNING -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c corr_with_cov.cpp -o corr_with_cov.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_recheck/Library/bigsparser/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/bigstatsr/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/rmio/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/roptim/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -DARMA_DONT_PRINT_OPENMP_WARNING -DARMA_DONT_PRINT_CXX11_WARNING -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c impute-simple.cpp -o impute-simple.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_recheck/Library/bigsparser/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/bigstatsr/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/rmio/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/roptim/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -DARMA_DONT_PRINT_OPENMP_WARNING -DARMA_DONT_PRINT_CXX11_WARNING -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c lassosum2.cpp -o lassosum2.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_recheck/Library/bigsparser/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/bigstatsr/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/rmio/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/roptim/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -DARMA_DONT_PRINT_OPENMP_WARNING -DARMA_DONT_PRINT_CXX11_WARNING -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c ld-scores-sfbm.cpp -o ld-scores-sfbm.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_recheck/Library/bigsparser/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/bigstatsr/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/rmio/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/roptim/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -DARMA_DONT_PRINT_OPENMP_WARNING -DARMA_DONT_PRINT_CXX11_WARNING -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c ld-scores.cpp -o ld-scores.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_recheck/Library/bigsparser/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/bigstatsr/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/rmio/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/roptim/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -DARMA_DONT_PRINT_OPENMP_WARNING -DARMA_DONT_PRINT_CXX11_WARNING -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c ldpred2-auto.cpp -o ldpred2-auto.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_recheck/Library/bigsparser/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/bigstatsr/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/rmio/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/roptim/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -DARMA_DONT_PRINT_OPENMP_WARNING -DARMA_DONT_PRINT_CXX11_WARNING -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c ldpred2-sampling.cpp -o ldpred2-sampling.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_recheck/Library/bigsparser/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/bigstatsr/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/rmio/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/roptim/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -DARMA_DONT_PRINT_OPENMP_WARNING -DARMA_DONT_PRINT_CXX11_WARNING -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c ldpred2.cpp -o ldpred2.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_recheck/Library/bigsparser/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/bigstatsr/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/rmio/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/roptim/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -DARMA_DONT_PRINT_OPENMP_WARNING -DARMA_DONT_PRINT_CXX11_WARNING -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c multLinReg.cpp -o multLinReg.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_recheck/Library/bigsparser/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/bigstatsr/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/rmio/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/roptim/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -DARMA_DONT_PRINT_OPENMP_WARNING -DARMA_DONT_PRINT_CXX11_WARNING -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c prod-bgen.cpp -o prod-bgen.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_recheck/Library/bigsparser/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/bigstatsr/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/rmio/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/roptim/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -DARMA_DONT_PRINT_OPENMP_WARNING -DARMA_DONT_PRINT_CXX11_WARNING -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c project-utils.cpp -o project-utils.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_recheck/Library/bigsparser/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/bigstatsr/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/rmio/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/roptim/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -DARMA_DONT_PRINT_OPENMP_WARNING -DARMA_DONT_PRINT_CXX11_WARNING -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c read-bgen.cpp -o read-bgen.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_recheck/Library/bigsparser/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/bigstatsr/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/rmio/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/roptim/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -DARMA_DONT_PRINT_OPENMP_WARNING -DARMA_DONT_PRINT_CXX11_WARNING -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c read-plink.cpp -o read-plink.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_recheck/Library/bigsparser/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/bigstatsr/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/rmio/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/roptim/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -DARMA_DONT_PRINT_OPENMP_WARNING -DARMA_DONT_PRINT_CXX11_WARNING -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c sp-colsumssq-sym.cpp -o sp-colsumssq-sym.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_recheck/Library/bigsparser/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/bigstatsr/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/rmio/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/roptim/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -DARMA_DONT_PRINT_OPENMP_WARNING -DARMA_DONT_PRINT_CXX11_WARNING -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c split-LD.cpp -o split-LD.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_recheck/Library/bigsparser/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/bigstatsr/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/rmio/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/roptim/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -DARMA_DONT_PRINT_OPENMP_WARNING -DARMA_DONT_PRINT_CXX11_WARNING -DARMA_64BIT_WORD=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c write-plink.cpp -o write-plink.o g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o bigsnpr.so RcppExports.o bed-acc-xptr.o bed-fun.o bed-mat-acc.o bed-prod-vec.o clumping-bed.o clumping-cached.o clumping.o colstats.o copy-subset.o corr.o corr_with_cov.o impute-simple.o lassosum2.o ld-scores-sfbm.o ld-scores.o ldpred2-auto.o ldpred2-sampling.o ldpred2.o multLinReg.o prod-bgen.o project-utils.o read-bgen.o read-plink.o sp-colsumssq-sym.o split-LD.o write-plink.o -fopenmp -llapack -L/home/hornik/tmp/R/lib -lRblas -lgfortran -lm -lquadmath -lz -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmpay8eqo/R.INSTALL34315121d64523/bigsnpr/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-bigsnpr/00new/bigsnpr/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (bigsnpr) * installing *source* package ‘sdmTMB’ ... ** this is package ‘sdmTMB’ version ‘0.8.1’ ** package ‘sdmTMB’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-15 (Debian 15.2.0-12) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp58uo2I/R.INSTALL342d1f51bf67e1/sdmTMB/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -DTMBAD_FRAMEWORK -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c sdmTMB.cpp -o sdmTMB.o In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMB.hpp:92, from sdmTMB.cpp:3: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from ‘struct Eigen::internal::traits >’ 23 | template struct traits : traits {}; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits > >’ 18 | struct traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:95:71: required from here 95 | void matmul(Map x, Map y, Map z) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits > >’ 24 | ? PlainObjectType::ColsAtCompileTime | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:95:71: required from here 95 | void matmul(Map x, Map y, Map z) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:95:71: required from here 95 | void matmul(Map x, Map y, Map z) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:95:71: required from here 95 | void matmul(Map x, Map y, Map z) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:97:69: required from here 97 | if (XT && YT && ZT) z.transpose() = x.transpose() * y.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:97:69: required from here 97 | if (XT && YT && ZT) z.transpose() = x.transpose() * y.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Transpose > >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Transpose > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Transpose > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Transpose > >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Transpose > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Transpose > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:97:69: required from here 97 | if (XT && YT && ZT) z.transpose() = x.transpose() * y.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose > >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose > >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:98:58: required from here 98 | if (!XT && YT && ZT) z.transpose() = x * y.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Map >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Map >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Map >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Map >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Map >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Map >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:99:58: required from here 99 | if (XT && !YT && ZT) z.transpose() = x.transpose() * y; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Map >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Map >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Map >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Map >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Map >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Map >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:101:47: required from here 101 | if (!XT && !YT && ZT) z.transpose() = x * y; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:65: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:17:8: required from ‘struct tmbutils::vector’ 17 | struct vector : Array | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vectorize.hpp:54:35: required from here 54 | struct vector : tmbutils::vector { | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits > >’ 24 | ? PlainObjectType::ColsAtCompileTime | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/convert.hpp:114:24: required from here 114 | vector y = tmp.cast(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/convert.hpp:114:24: required from here 114 | vector y = tmp.cast(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl >, Eigen::Dense>’ 68 | class InverseImpl | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse > >’ 43 | class Inverse : public InverseImpl::StorageKind> | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:497:1: required from here 510 | Y = X.inverse(); // Use Eigen matrix inverse (LU) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from here 539 | double res=LUdiag.abs().log().sum(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from here 539 | double res=LUdiag.abs().log().sum(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:554:1: required from here 571 | double logdetX = D.log().sum(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_convolve.hpp:8:57: required from here 14 | y(i, j) = (x.block(i, j, kr, kc).array() * K.array()).sum(); | ~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, -1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, -1, false> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_convolve.hpp:8:57: required from here 14 | y(i, j) = (x.block(i, j, kr, kc).array() * K.array()).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_convolve.hpp:8:57: required from here 14 | y(i, j) = (x.block(i, j, kr, kc).array() * K.array()).sum(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_convolve.hpp:8:57: required from here 14 | y(i, j) = (x.block(i, j, kr, kc).array() * K.array()).sum(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:22:1: required from here 291 | y_ = foo0(x_); \ | ~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:22:1: required from here 291 | y_ = foo0(x_); \ | ~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:30:1: required from here 291 | y_ = foo0(x_); \ | ~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:30:1: required from here 291 | y_ = foo0(x_); \ | ~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/start_parallel.hpp:361:50: required from here 361 | for(int i=0; i::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMB.hpp:96: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/simplicial_inverse_subset.hpp:7:46: required from here 7 | typedef SimplicialLLT > BaseD; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 1, Eigen::Sparse>’ 25 | template class TriangularViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 1>’ 187 | template class TriangularView | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:42:26: required from here 42 | return 2. * llt.matrixL().nestedExpression().diagonal().array().log().sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:42:56: required from here 42 | return 2. * llt.matrixL().nestedExpression().diagonal().array().log().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:42:64: required from here 42 | return 2. * llt.matrixL().nestedExpression().diagonal().array().log().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:42:70: required from here 42 | return 2. * llt.matrixL().nestedExpression().diagonal().array().log().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:644:38: required from here 644 | D = (perm.transpose() * D.matrix()).array(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::MatrixWrapper >, 2>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::MatrixWrapper >, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::MatrixWrapper >, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::MatrixWrapper >, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::MatrixWrapper >, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::MatrixWrapper >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:644:40: required from here 644 | D = (perm.transpose() * D.matrix()).array(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::MatrixWrapper >, 2> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::MatrixWrapper >, 2> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, Eigen::MatrixWrapper >, 2> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, Eigen::MatrixWrapper >, 2> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:644:47: required from here 644 | D = (perm.transpose() * D.matrix()).array(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 2>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:645:28: required from here 645 | R = perm.transpose() * R; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:655:34: required from here 655 | Dtmp.diagonal() = Dpos.sqrt().cwiseInverse().array(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:655:49: required from here 655 | Dtmp.diagonal() = Dpos.sqrt().cwiseInverse().array(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:659:49: required from here 659 | LT = Eigen::MatrixXd( (Rtmp.transpose() * Rtmp).llt().matrixL().transpose() ); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:659:54: required from here 659 | LT = Eigen::MatrixXd( (Rtmp.transpose() * Rtmp).llt().matrixL().transpose() ); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:664:21: required from here 664 | Test1.diagonal().array() = Test1.diagonal().array() + 1.; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:664:59: required from here 664 | Test1.diagonal().array() = Test1.diagonal().array() + 1.; | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:664:59: required from here 664 | Test1.diagonal().array() = Test1.diagonal().array() + 1.; | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:664:59: required from here 664 | Test1.diagonal().array() = Test1.diagonal().array() + 1.; | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:672:46: required from here 672 | Dpos_inv.diagonal() = Dpos.cwiseInverse().array(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:676:59: required from here 676 | Test2.diagonal().array() = Test2.diagonal().array() + Dneg; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:680:31: required from here 680 | bool ok = (vecD.array() > 0).all(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:680:33: required from here 680 | bool ok = (vecD.array() > 0).all(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:699:17: required from here 699 | return y1 - y2; | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1226:26: required from here 1226 | dy_mat.diagonal() *= 2.; dy_mat *= .5; | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/sparse_matrix_exponential.hpp:225:25: required from here 225 | term = A * term / n; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:206:36: required from ‘atomic::nestedTriangle::nestedTriangle(tmbutils::vector >) [with int n = 1]’ 206 | matrix zero = args[0]*0.0; /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 273 | else if (nargs==2) ans=expm(nestedTriangle<1>(args)).bottomLeftCorner(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:206:36: required from ‘atomic::nestedTriangle::nestedTriangle(tmbutils::vector >) [with int n = 1]’ 206 | matrix zero = args[0]*0.0; /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 273 | else if (nargs==2) ans=expm(nestedTriangle<1>(args)).bottomLeftCorner(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/array.hpp:22:8: required from ‘struct tmbutils::array’ 22 | struct array:Map< Array >{ | ^~~~~ sdmTMB.cpp:151:3: required from ‘Type objective_function::operator()() [with Type = double]’ 151 | DATA_ARRAY(y_i); // response | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ sdmTMB.cpp:483:44: required from ‘Type objective_function::operator()() [with Type = double]’ 483 | omega_s.col(m) = omega_s_tmp * sdmTMB::barrier_scaling_factor(ln_tau_O(m), ln_kappa(0,m)); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ sdmTMB.cpp:555:22: required from ‘Type objective_function::operator()() [with Type = double]’ 555 | rho(m) * epsilon_st.col(m).col(t - 1))/sqrt(1. - rho(m) * rho(m))); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ sdmTMB.cpp:578:84: required from ‘Type objective_function::operator()() [with Type = double]’ 578 | epsilon_st.col(m).col(t) = rho(m) * epsilon_st.col(m).col(t-1) + epsilon_st_tmp * ar1_scaler; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ 103 | template class Block | ^~~~~ sdmTMB.cpp:831:25: required from ‘Type objective_function::operator()() [with Type = double]’ 831 | eta_iid_re_i.col(m) += Zt_list(m).row(j) * col_vec(j); | ~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>’ 333 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ 103 | template class Block | ^~~~~ sdmTMB.cpp:831:46: required from ‘Type objective_function::operator()() [with Type = double]’ 831 | eta_iid_re_i.col(m) += Zt_list(m).row(j) * col_vec(j); | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: required from ‘struct Eigen::EigenBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 42 | typedef typename internal::traits::StorageKind StorageKind; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:26:34: required from ‘class Eigen::SparseMatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 26 | template class SparseMatrixBase | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ sdmTMB.cpp:831:50: required from ‘Type objective_function::operator()() [with Type = double]’ 831 | eta_iid_re_i.col(m) += Zt_list(m).row(j) * col_vec(j); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ sdmTMB.cpp:831:50: required from ‘Type objective_function::operator()() [with Type = double]’ 831 | eta_iid_re_i.col(m) += Zt_list(m).row(j) * col_vec(j); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ sdmTMB.cpp:831:29: required from ‘Type objective_function::operator()() [with Type = double]’ 831 | eta_iid_re_i.col(m) += Zt_list(m).row(j) * col_vec(j); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ sdmTMB.cpp:1162:42: required from ‘Type objective_function::operator()() [with Type = double]’ 1162 | jnll += neg_log_dmvnorm(b_j_subset - b_mean_subset); | ~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ sdmTMB.cpp:1396:61: required from ‘Type objective_function::operator()() [with Type = double]’ 1396 | proj_eta.col(pos_model) = log((1. - p_extreme) * exp(proj_eta.col(pos_model)) + // regular part | ~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ sdmTMB.cpp:1396:56: required from ‘Type objective_function::operator()() [with Type = double]’ 1396 | proj_eta.col(pos_model) = log((1. - p_extreme) * exp(proj_eta.col(pos_model)) + // regular part | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ sdmTMB.cpp:1397:57: required from ‘Type objective_function::operator()() [with Type = double]’ 1397 | p_extreme * exp(proj_eta.col(pos_model)) * mix_ratio); //large part | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ sdmTMB.cpp:1396:87: required from ‘Type objective_function::operator()() [with Type = double]’ 1396 | proj_eta.col(pos_model) = log((1. - p_extreme) * exp(proj_eta.col(pos_model)) + // regular part | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ 1397 | p_extreme * exp(proj_eta.col(pos_model)) * mix_ratio); //large part | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ sdmTMB.cpp:1396:38: required from ‘Type objective_function::operator()() [with Type = double]’ 1396 | proj_eta.col(pos_model) = log((1. - p_extreme) * exp(proj_eta.col(pos_model)) + // regular part | ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1397 | p_extreme * exp(proj_eta.col(pos_model)) * mix_ratio); //large part | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/start_parallel.hpp:375:43: required from ‘Vector parallelADFun::forward(const Vector&) [with Vector = Eigen::Matrix; Type = double]’ 375 | for(int i=0; iforward(x); | ~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::MatrixWrapper >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::MatrixWrapper >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::MatrixWrapper >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::MatrixWrapper >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::MatrixWrapper >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::MatrixWrapper >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/convenience.hpp:49:13: required from ‘tmbutils::vector operator*(Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 49 | return (A * x.matrix()).array(); | ~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/sparse_matrix_exponential.hpp:225:18: required from here 225 | term = A * term / n; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::MatrixWrapper >, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::MatrixWrapper >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::MatrixWrapper >, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, Eigen::MatrixWrapper >, 0> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/convenience.hpp:49:32: required from ‘tmbutils::vector operator*(Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 49 | return (A * x.matrix()).array(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/sparse_matrix_exponential.hpp:225:18: required from here 225 | term = A * term / n; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:30:21: required from ‘Type atomic::Block::norm() [with Type = double]’ 30 | Aabs = A.array().abs(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:237:37: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 237 | double log2NormInf = log( A.norm() ); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:30:27: required from ‘Type atomic::Block::norm() [with Type = double]’ 30 | Aabs = A.array().abs(); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:237:37: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 237 | double log2NormInf = log( A.norm() ); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:31:47: required from ‘Type atomic::Block::norm() [with Type = double]’ 31 | vector rsAabs = Aabs.rowwise().sum(); | ~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:237:37: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 237 | double log2NormInf = log( A.norm() ); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:18:23: required from ‘atomic::Block atomic::Block::scale(Type) [with Type = double]’ 18 | return Block( c * this->A ); | ~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:242:29: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 242 | matrix_pade AA = A.scale( 1.0 / pow( 2.0, s ) ); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:25:29: required from ‘atomic::Block atomic::Block::addIdentity() [with Type = double]’ 25 | return Block( this->A + I ); | ~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:245:45: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 245 | matrix_pade E = AA.scale( c).addIdentity(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl, Eigen::Dense>’ 68 | class InverseImpl | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >’ 43 | class Inverse : public InverseImpl::StorageKind> | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:36:36: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from ‘class Eigen::Tridiagonalization >’ 92 | >::type DiagonalReturnType; | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from ‘class Eigen::Tridiagonalization >’ 97 | >::type SubDiagonalReturnType; | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:55: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:26: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:277: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, -1, false> > >’ 1384 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false> >, Eigen::internal::IndexBased, double>’ 1464 | struct unary_evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_convolve.hpp:8:57: required from here 14 | y(i, j) = (x.block(i, j, kr, kc).array() * K.array()).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1613:41: required from ‘struct Eigen::internal::evaluator, 0> >’ 1613 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, 0> > >’ 1384 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper, 0> > >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, 0> > > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, 0> > > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:42:76: required from here 42 | return 2. * llt.matrixL().nestedExpression().diagonal().array().log().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type >, const Eigen::CwiseUnaryOp, const Eigen::Map > > >’ 513 | typedef typename _CastType::Scalar NewScalarType; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase > >::CastXpr’ 48 | template struct CastXpr { typedef typename internal::cast_return_type, const Derived> >::type Type; }; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase > >::CastXpr::Type Eigen::DenseBase > >::cast() const [with NewType = double]’ 62 | cast() const | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/convert.hpp:114:35: required from ‘tmbutils::vector asVector(SEXP) [with Type = double; SEXP = SEXPREC*]’ 114 | vector y = tmp.cast(); | ~~~~~~~~~~~~~~^~ sdmTMB.cpp:162:3: required from ‘Type objective_function::operator()() [with Type = double]’ 239 | name = TMB_OBJECTIVE_PTR -> fillShape(asVector( \ | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ 240 | TMB_OBJECTIVE_PTR -> getShape(#name, &Rf_isReal )), #name); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:603:56: required from ‘void report_stack::push(Vector_Matrix_Or_Array, const char*) [with Vector_Matrix_Or_Array = tmbutils::array; Type = double]’ 603 | Eigen::Array xa(x); | ^~ sdmTMB.cpp:364:3: required from ‘Type objective_function::operator()() [with Type = double]’ 345 | TMB_OBJECTIVE_PTR -> reportvector.push(name, #name); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ utils.h:239:29: required from ‘Eigen::SparseMatrix sdmTMB::Q_spde_inlaspacetime(spde_barrier_t, Type, tmbutils::vector) [with Type = double]’ 239 | vector CC = spde.C0 + spde.C1 * pow(range_fraction, 2); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sdmTMB.cpp:433:39: required from ‘Type objective_function::operator()() [with Type = double]’ 433 | Q_s = sdmTMB::Q_spde_inlaspacetime(spde_barrier, ln_kappa(0,0), barrier_scaling); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ utils.h:240:54: required from ‘Eigen::SparseMatrix sdmTMB::Q_spde_inlaspacetime(spde_barrier_t, Type, tmbutils::vector) [with Type = double]’ 240 | Eigen::SparseMatrix Dmat = spde.D0 + spde.D1 * pow(range_fraction, 2); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ sdmTMB.cpp:433:39: required from ‘Type objective_function::operator()() [with Type = double]’ 433 | Q_s = sdmTMB::Q_spde_inlaspacetime(spde_barrier, ln_kappa(0,0), barrier_scaling); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ utils.h:240:44: required from ‘Eigen::SparseMatrix sdmTMB::Q_spde_inlaspacetime(spde_barrier_t, Type, tmbutils::vector) [with Type = double]’ 240 | Eigen::SparseMatrix Dmat = spde.D0 + spde.D1 * pow(range_fraction, 2); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sdmTMB.cpp:433:39: required from ‘Type objective_function::operator()() [with Type = double]’ 433 | Q_s = sdmTMB::Q_spde_inlaspacetime(spde_barrier, ln_kappa(0,0), barrier_scaling); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ 22 | class SparseTransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ 45 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ utils.h:249:51: required from ‘Eigen::SparseMatrix sdmTMB::Q_spde_inlaspacetime(spde_barrier_t, Type, tmbutils::vector) [with Type = double]’ 249 | Eigen::SparseMatrix ICI = spde.I.transpose() * iC * spde.I; | ~~~~~~~~~~~~~~~~^~ sdmTMB.cpp:433:39: required from ‘Type objective_function::operator()() [with Type = double]’ 433 | Q_s = sdmTMB::Q_spde_inlaspacetime(spde_barrier, ln_kappa(0,0), barrier_scaling); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ 145 | class ProductImpl : public internal::generic_xpr_base, MatrixXpr, StorageKind>::type | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ utils.h:249:54: required from ‘Eigen::SparseMatrix sdmTMB::Q_spde_inlaspacetime(spde_barrier_t, Type, tmbutils::vector) [with Type = double]’ 249 | Eigen::SparseMatrix ICI = spde.I.transpose() * iC * spde.I; | ~~~~~~~~~~~~~~~~~~~^~~~ sdmTMB.cpp:433:39: required from ‘Type objective_function::operator()() [with Type = double]’ 433 | Q_s = sdmTMB::Q_spde_inlaspacetime(spde_barrier, ln_kappa(0,0), barrier_scaling); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>’ 145 | class ProductImpl : public internal::generic_xpr_base, MatrixXpr, StorageKind>::type | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ utils.h:249:59: required from ‘Eigen::SparseMatrix sdmTMB::Q_spde_inlaspacetime(spde_barrier_t, Type, tmbutils::vector) [with Type = double]’ 249 | Eigen::SparseMatrix ICI = spde.I.transpose() * iC * spde.I; | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ sdmTMB.cpp:433:39: required from ‘Type objective_function::operator()() [with Type = double]’ 433 | Q_s = sdmTMB::Q_spde_inlaspacetime(spde_barrier, ln_kappa(0,0), barrier_scaling); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ utils.h:266:40: required from ‘Eigen::SparseMatrix sdmTMB::Q_spde_inlaspacetime(spde_barrier_t, Type, tmbutils::vector) [with Type = double]’ 266 | Eigen::SparseMatrix Q = param0 * ICI + param1 * ICD + param2 * DCI + param3 * DCD; | ~~~~~~~^~~~~ sdmTMB.cpp:433:39: required from ‘Type objective_function::operator()() [with Type = double]’ 433 | Q_s = sdmTMB::Q_spde_inlaspacetime(spde_barrier, ln_kappa(0,0), barrier_scaling); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ utils.h:266:46: required from ‘Eigen::SparseMatrix sdmTMB::Q_spde_inlaspacetime(spde_barrier_t, Type, tmbutils::vector) [with Type = double]’ 266 | Eigen::SparseMatrix Q = param0 * ICI + param1 * ICD + param2 * DCI + param3 * DCD; | ~~~~~~~~~~~~~^~~~~~~~~~~~~~ sdmTMB.cpp:433:39: required from ‘Type objective_function::operator()() [with Type = double]’ 433 | Q_s = sdmTMB::Q_spde_inlaspacetime(spde_barrier, ln_kappa(0,0), barrier_scaling); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ utils.h:266:61: required from ‘Eigen::SparseMatrix sdmTMB::Q_spde_inlaspacetime(spde_barrier_t, Type, tmbutils::vector) [with Type = double]’ 266 | Eigen::SparseMatrix Q = param0 * ICI + param1 * ICD + param2 * DCI + param3 * DCD; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ sdmTMB.cpp:433:39: required from ‘Type objective_function::operator()() [with Type = double]’ 433 | Q_s = sdmTMB::Q_spde_inlaspacetime(spde_barrier, ln_kappa(0,0), barrier_scaling); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ utils.h:266:76: required from ‘Eigen::SparseMatrix sdmTMB::Q_spde_inlaspacetime(spde_barrier_t, Type, tmbutils::vector) [with Type = double]’ 266 | Eigen::SparseMatrix Q = param0 * ICI + param1 * ICD + param2 * DCI + param3 * DCD; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ sdmTMB.cpp:433:39: required from ‘Type objective_function::operator()() [with Type = double]’ 433 | Q_s = sdmTMB::Q_spde_inlaspacetime(spde_barrier, ln_kappa(0,0), barrier_scaling); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>’ 145 | class ProductImpl : public internal::generic_xpr_base, MatrixXpr, StorageKind>::type | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/R_inla.hpp:122:23: required from ‘Eigen::SparseMatrix R_inla::Q_spde(spde_aniso_t, Type, tmbutils::matrix) [with Type = double]’ 122 | G2_aniso = G1_aniso * G0_inv * G1_aniso; | ~~~~~~~~~^~~~~~~~ sdmTMB.cpp:440:27: required from ‘Type objective_function::operator()() [with Type = double]’ 440 | Q_s = R_inla::Q_spde(spde_aniso, exp(ln_kappa(0,0)), H); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>’ 145 | class ProductImpl : public internal::generic_xpr_base, MatrixXpr, StorageKind>::type | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/R_inla.hpp:122:32: required from ‘Eigen::SparseMatrix R_inla::Q_spde(spde_aniso_t, Type, tmbutils::matrix) [with Type = double]’ 122 | G2_aniso = G1_aniso * G0_inv * G1_aniso; | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~ sdmTMB.cpp:440:27: required from ‘Type objective_function::operator()() [with Type = double]’ 440 | Q_s = R_inla::Q_spde(spde_aniso, exp(ln_kappa(0,0)), H); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >, const Eigen::SparseMatrix > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >, const Eigen::SparseMatrix, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >, const Eigen::SparseMatrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/R_inla.hpp:124:56: required from ‘Eigen::SparseMatrix R_inla::Q_spde(spde_aniso_t, Type, tmbutils::matrix) [with Type = double]’ 124 | return kappa_pow4*G0 + Type(2.0)*kappa_pow2*G1_aniso + G2_aniso; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ sdmTMB.cpp:440:27: required from ‘Type objective_function::operator()() [with Type = double]’ 440 | Q_s = R_inla::Q_spde(spde_aniso, exp(ln_kappa(0,0)), H); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/array.hpp:300:3: required from ‘tmbutils::array tmbutils::array::operator-(T) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Type = double]’ 298 | array OP(T y){return array(MapBase::OP(y),dim);} | ~~~~~~~~~~~^~~ sdmTMB.cpp:554:99: required from ‘Type objective_function::operator()() [with Type = double]’ 554 | PARALLEL_REGION jnll += SCALE(GMRF(Q_temp, s), ar1_scale_t)((epsilon_st.col(m).col(t) - | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 555 | rho(m) * epsilon_st.col(m).col(t - 1))/sqrt(1. - rho(m) * rho(m))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/array.hpp:302:3: required from ‘tmbutils::array tmbutils::array::operator/(T) [with T = double; Type = double]’ 298 | array OP(T y){return array(MapBase::OP(y),dim);} | ~~~~~~~~~~~^~~ sdmTMB.cpp:555:53: required from ‘Type objective_function::operator()() [with Type = double]’ 554 | PARALLEL_REGION jnll += SCALE(GMRF(Q_temp, s), ar1_scale_t)((epsilon_st.col(m).col(t) - | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 555 | rho(m) * epsilon_st.col(m).col(t - 1))/sqrt(1. - rho(m) * rho(m))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/array.hpp:300:3: required from ‘tmbutils::array tmbutils::array::operator-(T) [with T = tmbutils::array; Type = double]’ 298 | array OP(T y){return array(MapBase::OP(y),dim);} | ~~~~~~~~~~~^~~ sdmTMB.cpp:594:97: required from ‘Type objective_function::operator()() [with Type = double]’ 594 | PARALLEL_REGION jnll += SCALE(GMRF(Q_temp, s), rw_scale_t)(epsilon_st.col(m).col(t) - epsilon_st.col(m).col(t - 1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/array.hpp:299:3: required from ‘tmbutils::array tmbutils::array::operator+(T) [with T = tmbutils::vector; Type = double]’ 298 | array OP(T y){return array(MapBase::OP(y),dim);} | ~~~~~~~~~~~^~~ sdmTMB.cpp:606:75: required from ‘Type objective_function::operator()() [with Type = double]’ 606 | epsilon_st.col(m).col(t) = epsilon_st.col(m).col(t-1) + epsilon_st_tmp; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:1036:23: required from ‘density::VECSCALE_t::scalartype density::VECSCALE_t::operator()(vectortype) [with distribution = density::UNSTRUCTURED_CORR_t; scalartype = double; vectortype = tmbutils::vector]’ 1036 | scalartype ans=f(x/scale); | ~^~~~~~ sdmTMB.cpp:667:74: required from ‘Type objective_function::operator()() [with Type = double]’ 667 | jnll += VECSCALE(UNSTRUCTURED_CORR(unconstrained_params),sds)(b_re_vec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::MatrixWrapper >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::MatrixWrapper >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::MatrixWrapper >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::MatrixWrapper >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::MatrixWrapper >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::MatrixWrapper >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/convenience.hpp:43:12: required from ‘tmbutils::vector operator*(tmbutils::matrix, tmbutils::vector) [with Type = double]’ 43 | return A * x.matrix(); | ~~^~~~~~~~~~~~ sdmTMB.cpp:767:46: required from ‘Type objective_function::operator()() [with Type = double]’ 767 | if (m == 0) eta_fixed_i.col(m) = X_ij(m) * b_j; | ~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/array.hpp:299:3: required from ‘tmbutils::array tmbutils::array::operator+(T) [with T = tmbutils::array; Type = double]’ 298 | array OP(T y){return array(MapBase::OP(y),dim);} | ~~~~~~~~~~~^~~ sdmTMB.cpp:1379:46: required from ‘Type objective_function::operator()() [with Type = double]’ 1379 | proj_rf.col(m) = proj_omega_s_A.col(m) + proj_epsilon_st_A_vec.col(m); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:44: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:22: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:77: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:56:31: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 2> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>’ 25 | template class TriangularViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 2>’ 187 | template class TriangularView | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:919:71: required from ‘density::GMRF_t::vectortype density::GMRF_t::sqrt_cov_scale(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 919 | matrixtype x = L.transpose().template triangularView().solve(u.matrix()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:923:3: required from ‘void density::GMRF_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]’ 65 | x = sqrt_cov_scale(x); \ | ^~~~~~~~~~~~~~ sdmTMB.cpp:481:37: required from ‘Type objective_function::operator()() [with Type = double]’ 481 | GMRF(Q_temp, s).simulate(omega_s_tmp); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 2>, Eigen::MatrixWrapper > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 2>, Eigen::MatrixWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 2>, Eigen::MatrixWrapper > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 2>, Eigen::MatrixWrapper >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 2>, Eigen::MatrixWrapper > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:919:79: required from ‘density::GMRF_t::vectortype density::GMRF_t::sqrt_cov_scale(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 919 | matrixtype x = L.transpose().template triangularView().solve(u.matrix()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:923:3: required from ‘void density::GMRF_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]’ 65 | x = sqrt_cov_scale(x); \ | ^~~~~~~~~~~~~~ sdmTMB.cpp:481:37: required from ‘Type objective_function::operator()() [with Type = double]’ 481 | GMRF(Q_temp, s).simulate(omega_s_tmp); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:920:14: required from ‘density::GMRF_t::vectortype density::GMRF_t::sqrt_cov_scale(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 920 | x = Pinv * x; | ~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:923:3: required from ‘void density::GMRF_t::simulate(vectortype&) [with scalartype_ = double; vectortype = tmbutils::vector]’ 65 | x = sqrt_cov_scale(x); \ | ^~~~~~~~~~~~~~ sdmTMB.cpp:481:37: required from ‘Type objective_function::operator()() [with Type = double]’ 481 | GMRF(Q_temp, s).simulate(omega_s_tmp); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:276:21: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 276 | matrixtype llt=L*L.transpose(); | ~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:290:10: required from ‘density::UNSTRUCTURED_CORR_t density::UNSTRUCTURED_CORR(tmbutils::vector) [with scalartype = double]’ 290 | return UNSTRUCTURED_CORR_t(x); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sdmTMB.cpp:667:47: required from ‘Type objective_function::operator()() [with Type = double]’ 667 | jnll += VECSCALE(UNSTRUCTURED_CORR(unconstrained_params),sds)(b_re_vec); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ sdmTMB.cpp:813:19: required from ‘Type objective_function::operator()() [with Type = double]’ 813 | eta_rw_i.setZero(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:146:21: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 146 | Q = ldlt.solve(I); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:121:5: required from ‘density::MVNORM_t::MVNORM_t(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 121 | setSigma(Sigma_, use_atomic); | ^~~~~~~~ sdmTMB.cpp:1147:18: required from ‘Type objective_function::operator()() [with Type = double]’ 1147 | MVNORM_t neg_log_dmvnorm(priors_b_Sigma); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:153:14: required from ‘density::MVNORM_t::scalartype density::MVNORM_t::Quadform(vectortype) [with scalartype_ = double; scalartype = double; vectortype = tmbutils::vector]’ 153 | return (x*(vectortype(Q*x))).sum(); | ~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:157:53: required from ‘density::MVNORM_t::scalartype density::MVNORM_t::operator()(vectortype) [with scalartype_ = double; scalartype = double; vectortype = tmbutils::vector]’ 157 | return -scalartype(.5)*logdetQ + scalartype(.5)*Quadform(x) + x.size()*scalartype(log(sqrt(2.0*M_PI))); | ^~~~~~~~ sdmTMB.cpp:1162:30: required from ‘Type objective_function::operator()() [with Type = double]’ 1162 | jnll += neg_log_dmvnorm(b_j_subset - b_mean_subset); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/start_parallel.hpp:374:16: required from ‘Vector parallelADFun::forward(const Vector&) [with Vector = Eigen::Matrix; Type = double]’ 374 | out.setZero(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2675:28: required from here 2675 | y_map = pf->forward(x); | ~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Matrix; bool Big = false]’ 846 | return m = Derived::Identity(m.rows(), m.cols()); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Matrix]’ 875 | return internal::setIdentity_impl::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:24:20: required from ‘atomic::Block atomic::Block::addIdentity() [with Type = double]’ 24 | I.setIdentity(); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:245:45: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 245 | matrix_pade E = AA.scale( c).addIdentity(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:34: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 453 | RealScalar scale = mat.cwiseAbs().maxCoeff(); | ~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1040:66: required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = scalar_sum_op]’ 1040 | SparseMatrix trMat(mat.rows(),mat.cols()); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1110 | internal::set_from_triplets >(begin, end, *this, internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/spmat.hpp:24:22: required from ‘Eigen::SparseMatrix tmbutils::asSparseMatrix(SEXP) [with Type = double; SEXP = SEXPREC*]’ 24 | mat.setFromTriplets(tripletList.begin(), tripletList.end()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sdmTMB.cpp:178:3: required from ‘Type objective_function::operator()() [with Type = double]’ 302 | Eigen::SparseMatrix name(tmbutils::asSparseMatrix( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ 303 | getListElement(TMB_OBJECTIVE_PTR -> data, \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | #name, &isValidSparseMatrix))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1194:15: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1194 | OtherCopy otherCopy(other.derived()); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:689:15: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 689 | *this = other.derived(); | ~~~~~~^~~~~~~~~~~~~~~~~ utils.h:240:44: required from ‘Eigen::SparseMatrix sdmTMB::Q_spde_inlaspacetime(spde_barrier_t, Type, tmbutils::vector) [with Type = double]’ 240 | Eigen::SparseMatrix Dmat = spde.D0 + spde.D1 * pow(range_fraction, 2); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sdmTMB.cpp:433:39: required from ‘Type objective_function::operator()() [with Type = double]’ 433 | Q_s = sdmTMB::Q_spde_inlaspacetime(spde_barrier, ln_kappa(0,0), barrier_scaling); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1195:19: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1195 | OtherCopyEval otherCopyEval(otherCopy); | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:689:15: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 689 | *this = other.derived(); | ~~~~~~^~~~~~~~~~~~~~~~~ utils.h:240:44: required from ‘Eigen::SparseMatrix sdmTMB::Q_spde_inlaspacetime(spde_barrier_t, Type, tmbutils::vector) [with Type = double]’ 240 | Eigen::SparseMatrix Dmat = spde.D0 + spde.D1 * pow(range_fraction, 2); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sdmTMB.cpp:433:39: required from ‘Type objective_function::operator()() [with Type = double]’ 433 | Q_s = sdmTMB::Q_spde_inlaspacetime(spde_barrier, ln_kappa(0,0), barrier_scaling); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::MatrixWrapper >, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::MatrixWrapper >, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::MatrixWrapper >, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::MatrixWrapper >, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::MatrixWrapper >, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:887:15: required from ‘density::GMRF_t::scalartype density::GMRF_t::Quadform(vectortype) [with scalartype_ = double; scalartype = double; vectortype = tmbutils::vector]’ 887 | return (x * (Q * x.matrix()).array()).sum(); | ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:890:57: required from ‘density::GMRF_t::scalartype density::GMRF_t::operator()(vectortype) [with scalartype_ = double; scalartype = double; vectortype = tmbutils::vector]’ 890 | return -scalartype(.5) * logdetQ + scalartype(.5) * Quadform(x) + x.size() * scalartype(log(sqrt(2.0 * M_PI))); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:970:21: required from ‘density::SCALE_t::scalartype density::SCALE_t::operator()(arraytype) [with distribution = density::GMRF_t; scalartype = double; arraytype = tmbutils::array]’ 970 | scalartype ans=f(x/scale); | ~^~~~~~~~~ sdmTMB.cpp:477:70: required from ‘Type objective_function::operator()() [with Type = double]’ 477 | PARALLEL_REGION jnll += SCALE(GMRF(Q_temp, s), spatial_scale)(omega_s.col(m)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:45:7: required from ‘Eigen::CwiseBinaryOpImpl::CwiseBinaryOpImpl() [with BinaryOp = Eigen::internal::scalar_product_op; Lhs = const Eigen::Block, 1, -1, false>; Rhs = const Eigen::CwiseNullaryOp, const Eigen::Matrix >]’ 48 | || ((internal::evaluator::Flags&RowMajorBit) == (internal::evaluator::Flags&RowMajorBit))), | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:49: required from ‘Eigen::CwiseBinaryOp::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_product_op; LhsType = const Eigen::Block, 1, -1, false>; RhsType = const Eigen::CwiseNullaryOp, const Eigen::Matrix >; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::CwiseNullaryOp, const Eigen::Matrix >]’ 111 | : m_lhs(aLhs), m_rhs(aRhs), m_functor(func) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/../plugins/CommonCwiseBinaryOps.h:50:1: required from ‘const Eigen::CwiseBinaryOp::Scalar, typename Eigen::internal::promote_scalar_arg::Scalar, T, Eigen::internal::has_ReturnType::Scalar, T, Eigen::internal::scalar_product_op::Scalar, T> > >::value>::type>, const Derived, const typename Eigen::internal::plain_constant_type::Scalar, T, Eigen::internal::has_ReturnType::Scalar, T, Eigen::internal::scalar_product_op::Scalar, T> > >::value>::type>::type> Eigen::SparseMatrixBase::operator*(const T&) const [with T = double; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::promote_scalar_arg::Scalar, T, Eigen::internal::has_ReturnType::Scalar, T, Eigen::internal::scalar_product_op::Scalar, T> > >::value>::type = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::plain_constant_type::Scalar, T, Eigen::internal::has_ReturnType::Scalar, T, Eigen::internal::scalar_product_op::Scalar, T> > >::value>::type>::type = Eigen::CwiseNullaryOp, const Eigen::Matrix >]’ 1348 | CwiseBinaryOp::Scalar,SCALAR>, const EXPR, \ | ^ sdmTMB.cpp:831:50: required from ‘Type objective_function::operator()() [with Type = double]’ 831 | eta_iid_re_i.col(m) += Zt_list(m).row(j) * col_vec(j); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = add_assign_op]’ 883 | ActualDstType actualDst(dst); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from ‘Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, 1, true>]’ 145 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sdmTMB.cpp:831:29: required from ‘Type objective_function::operator()() [with Type = double]’ 831 | eta_iid_re_i.col(m) += Zt_list(m).row(j) * col_vec(j); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = add_assign_op]’ 883 | ActualDstType actualDst(dst); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from ‘Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 145 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sdmTMB.cpp:1285:34: required from ‘Type objective_function::operator()() [with Type = double]’ 1285 | proj_iid_re_i.col(m) += Zt_list_proj(m).row(j) * col_vec(j); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:398:143: required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator/=(const typename Eigen::internal::traits::Scalar&) [with _MatrixType = Eigen::Matrix; unsigned int _Mode = 1; TriangularViewType = Eigen::TriangularView, 1>; typename Eigen::internal::traits::Scalar = double]’ 398 | TriangularViewType& operator/=(const typename internal::traits::Scalar& other) { return *this = derived().nestedExpression() / other; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:455:40: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 455 | mat.template triangularView() /= scale; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:19: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ 563 | diag.segment(i,n-i).minCoeff(&k); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>’ 50 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 255 | class Map, Options, StrideType> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:21:17: required from ‘Eigen::SparseMatrix pattern(const Eigen::SparseMatrix&, std::vector) [with NewType = double; OldType = TMBad::global::ad_aug]’ 21 | return Eigen::Map > (S.rows(), | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 22 | S.cols(), | ~~~~~~~~~ 23 | S.nonZeros(), | ~~~~~~~~~~~~~ 24 | S.outerIndexPtr(), | ~~~~~~~~~~~~~~~~~~ 25 | S.innerIndexPtr(), | ~~~~~~~~~~~~~~~~~~ 26 | x.data(), | ~~~~~~~~~ 27 | S.innerNonZeroPtr()); | ~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1332:64: required from ‘Type newton::log_determinant(const Eigen::SparseMatrix&, std::shared_ptr > > >) [with Type = TMBad::global::ad_aug]’ 1332 | TMBad::global::Complete > LD(pattern(H), ptr->llt); | ~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_sparse_t > >]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1555:25: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1555 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1181 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1063:7: required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = scalar_sum_op]’ 1063 | mat = trMat; | ~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1110 | internal::set_from_triplets >(begin, end, *this, internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/spmat.hpp:24:22: required from ‘Eigen::SparseMatrix tmbutils::asSparseMatrix(SEXP) [with Type = double; SEXP = SEXPREC*]’ 24 | mat.setFromTriplets(tripletList.begin(), tripletList.end()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sdmTMB.cpp:178:3: required from ‘Type objective_function::operator()() [with Type = double]’ 302 | Eigen::SparseMatrix name(tmbutils::asSparseMatrix( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ 303 | getListElement(TMB_OBJECTIVE_PTR -> data, \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | #name, &isValidSparseMatrix))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:147:37: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, -1, 1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 147 | internal::evaluator dstEval(dst); | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from ‘Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, 1, true>]’ 145 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sdmTMB.cpp:831:29: required from ‘Type objective_function::operator()() [with Type = double]’ 831 | eta_iid_re_i.col(m) += Zt_list(m).row(j) * col_vec(j); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:43: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:121:5: required from ‘density::MVNORM_t::MVNORM_t(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 121 | setSigma(Sigma_, use_atomic); | ^~~~~~~~ sdmTMB.cpp:1147:18: required from ‘Type objective_function::operator()() [with Type = double]’ 1147 | MVNORM_t neg_log_dmvnorm(priors_b_Sigma); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:91: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:121:5: required from ‘density::MVNORM_t::MVNORM_t(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 121 | setSigma(Sigma_, use_atomic); | ^~~~~~~~ sdmTMB.cpp:1147:18: required from ‘Type objective_function::operator()() [with Type = double]’ 1147 | MVNORM_t neg_log_dmvnorm(priors_b_Sigma); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:101: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:121:5: required from ‘density::MVNORM_t::MVNORM_t(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 121 | setSigma(Sigma_, use_atomic); | ^~~~~~~~ sdmTMB.cpp:1147:18: required from ‘Type objective_function::operator()() [with Type = double]’ 1147 | MVNORM_t neg_log_dmvnorm(priors_b_Sigma); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:292:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >’ 292 | struct evaluator, Options, StrideType> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 687 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:21:17: required from ‘Eigen::SparseMatrix pattern(const Eigen::SparseMatrix&, std::vector) [with NewType = double; OldType = TMBad::global::ad_aug]’ 21 | return Eigen::Map > (S.rows(), | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 22 | S.cols(), | ~~~~~~~~~ 23 | S.nonZeros(), | ~~~~~~~~~~~~~ 24 | S.outerIndexPtr(), | ~~~~~~~~~~~~~~~~~~ 25 | S.innerIndexPtr(), | ~~~~~~~~~~~~~~~~~~ 26 | x.data(), | ~~~~~~~~~ 27 | S.innerNonZeroPtr()); | ~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1332:64: required from ‘Type newton::log_determinant(const Eigen::SparseMatrix&, std::shared_ptr > > >) [with Type = TMBad::global::ad_aug]’ 1332 | TMBad::global::Complete > LD(pattern(H), ptr->llt); | ~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_sparse_t > >]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1555:25: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1555 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Array; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Array; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:1037:26: required from ‘density::VECSCALE_t::scalartype density::VECSCALE_t::operator()(vectortype) [with distribution = density::UNSTRUCTURED_CORR_t; scalartype = double; vectortype = tmbutils::vector]’ 1037 | ans+=(log(scale)).sum(); | ~~~~~~~~~~~~~~~~^~ sdmTMB.cpp:667:74: required from ‘Type objective_function::operator()() [with Type = double]’ 667 | jnll += VECSCALE(UNSTRUCTURED_CORR(unconstrained_params),sds)(b_re_vec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:121:5: required from ‘density::MVNORM_t::MVNORM_t(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 121 | setSigma(Sigma_, use_atomic); | ^~~~~~~~ sdmTMB.cpp:1147:18: required from ‘Type objective_function::operator()() [with Type = double]’ 1147 | MVNORM_t neg_log_dmvnorm(priors_b_Sigma); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 325 | mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:121:5: required from ‘density::MVNORM_t::MVNORM_t(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 121 | setSigma(Sigma_, use_atomic); | ^~~~~~~~ sdmTMB.cpp:1147:18: required from ‘Type objective_function::operator()() [with Type = double]’ 1147 | MVNORM_t neg_log_dmvnorm(priors_b_Sigma); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:121:5: required from ‘density::MVNORM_t::MVNORM_t(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 121 | setSigma(Sigma_, use_atomic); | ^~~~~~~~ sdmTMB.cpp:1147:18: required from ‘Type objective_function::operator()() [with Type = double]’ 1147 | MVNORM_t neg_log_dmvnorm(priors_b_Sigma); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:121:5: required from ‘density::MVNORM_t::MVNORM_t(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 121 | setSigma(Sigma_, use_atomic); | ^~~~~~~~ sdmTMB.cpp:1147:18: required from ‘Type objective_function::operator()() [with Type = double]’ 1147 | MVNORM_t neg_log_dmvnorm(priors_b_Sigma); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:121:5: required from ‘density::MVNORM_t::MVNORM_t(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 121 | setSigma(Sigma_, use_atomic); | ^~~~~~~~ sdmTMB.cpp:1147:18: required from ‘Type objective_function::operator()() [with Type = double]’ 1147 | MVNORM_t neg_log_dmvnorm(priors_b_Sigma); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:121:5: required from ‘density::MVNORM_t::MVNORM_t(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 121 | setSigma(Sigma_, use_atomic); | ^~~~~~~~ sdmTMB.cpp:1147:18: required from ‘Type objective_function::operator()() [with Type = double]’ 1147 | MVNORM_t neg_log_dmvnorm(priors_b_Sigma); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:121:5: required from ‘density::MVNORM_t::MVNORM_t(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 121 | setSigma(Sigma_, use_atomic); | ^~~~~~~~ sdmTMB.cpp:1147:18: required from ‘Type objective_function::operator()() [with Type = double]’ 1147 | MVNORM_t neg_log_dmvnorm(priors_b_Sigma); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:121:5: required from ‘density::MVNORM_t::MVNORM_t(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 121 | setSigma(Sigma_, use_atomic); | ^~~~~~~~ sdmTMB.cpp:1147:18: required from ‘Type objective_function::operator()() [with Type = double]’ 1147 | MVNORM_t neg_log_dmvnorm(priors_b_Sigma); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:121:5: required from ‘density::MVNORM_t::MVNORM_t(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 121 | setSigma(Sigma_, use_atomic); | ^~~~~~~~ sdmTMB.cpp:1147:18: required from ‘Type objective_function::operator()() [with Type = double]’ 1147 | MVNORM_t neg_log_dmvnorm(priors_b_Sigma); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:121:5: required from ‘density::MVNORM_t::MVNORM_t(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 121 | setSigma(Sigma_, use_atomic); | ^~~~~~~~ sdmTMB.cpp:1147:18: required from ‘Type objective_function::operator()() [with Type = double]’ 1147 | MVNORM_t neg_log_dmvnorm(priors_b_Sigma); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:121:5: required from ‘density::MVNORM_t::MVNORM_t(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 121 | setSigma(Sigma_, use_atomic); | ^~~~~~~~ sdmTMB.cpp:1147:18: required from ‘Type objective_function::operator()() [with Type = double]’ 1147 | MVNORM_t neg_log_dmvnorm(priors_b_Sigma); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ 548 | internal::tridiagonal_qr_step(diag.data(), subdiag.data(), start, end, computeEigenvectors ? eivec.data() : (Scalar*)0, n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ 22 | class SparseTransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ 45 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:30:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:671:15: required from ‘void Eigen::SimplicialCholeskyBase::ordering(const MatrixType&, const CholMatrixType*&, CholMatrixType&) [with Derived = Eigen::SimplicialLLT >; MatrixType = Eigen::SparseMatrix; ConstCholMatrixPtr = const Eigen::SparseMatrix*; CholMatrixType = Eigen::SparseMatrix]’ 671 | ordering(C,m_Pinv); | ~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:208:7: required from ‘void Eigen::SimplicialCholeskyBase::compute(const MatrixType&) [with bool DoLDLT = false; Derived = Eigen::SimplicialLLT >; MatrixType = Eigen::SparseMatrix]’ 208 | ordering(matrix, pmat, tmp); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:374:36: required from ‘Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>& Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; int _UpLo = 1; _Ordering = Eigen::AMDOrdering; MatrixType = Eigen::SparseMatrix]’ 374 | Base::template compute(matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:97:24: required from ‘Eigen::SimplicialCholeskyBase::SimplicialCholeskyBase(const MatrixType&) [with Derived = Eigen::SimplicialLLT >; MatrixType = Eigen::SparseMatrix]’ 97 | derived().compute(matrix); | ~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:357:22: required from ‘Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>::SimplicialLLT(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; int _UpLo = 1; _Ordering = Eigen::AMDOrdering; MatrixType = Eigen::SparseMatrix]’ 357 | : Base(matrix) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1351:37: required from here 1351 | DEFAULT_SPARSE_FACTORIZATION llt(H); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:36:14: required from ‘void Eigen::internal::ordering_helper_at_plus_a(const MatrixType&, MatrixType&) [with MatrixType = Eigen::SparseMatrix]’ 36 | symmat = C + A; | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:63:42: required from ‘void Eigen::AMDOrdering::operator()(const MatrixType&, PermutationType&) [with MatrixType = Eigen::SparseMatrix; StorageIndex = int; PermutationType = Eigen::PermutationMatrix<-1, -1, int>]’ 63 | internal::ordering_helper_at_plus_a(mat,symm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:671:15: required from ‘void Eigen::SimplicialCholeskyBase::ordering(const MatrixType&, const CholMatrixType*&, CholMatrixType&) [with Derived = Eigen::SimplicialLLT >; MatrixType = Eigen::SparseMatrix; ConstCholMatrixPtr = const Eigen::SparseMatrix*; CholMatrixType = Eigen::SparseMatrix]’ 671 | ordering(C,m_Pinv); | ~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:208:7: required from ‘void Eigen::SimplicialCholeskyBase::compute(const MatrixType&) [with bool DoLDLT = false; Derived = Eigen::SimplicialLLT >; MatrixType = Eigen::SparseMatrix]’ 208 | ordering(matrix, pmat, tmp); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:374:36: required from ‘Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>& Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; int _UpLo = 1; _Ordering = Eigen::AMDOrdering; MatrixType = Eigen::SparseMatrix]’ 374 | Base::template compute(matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:97:24: required from ‘Eigen::SimplicialCholeskyBase::SimplicialCholeskyBase(const MatrixType&) [with Derived = Eigen::SimplicialLLT >; MatrixType = Eigen::SparseMatrix]’ 97 | derived().compute(matrix); | ~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:357:22: required from ‘Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>::SimplicialLLT(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; int _UpLo = 1; _Ordering = Eigen::AMDOrdering; MatrixType = Eigen::SparseMatrix]’ 357 | : Base(matrix) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1351:37: required from here 1351 | DEFAULT_SPARSE_FACTORIZATION llt(H); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Transpose, -1, 1, true> >; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Transpose, -1, 1, true> >]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:143:18: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, -1, 1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 143 | dst.setZero(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from ‘Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, 1, true>]’ 145 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sdmTMB.cpp:831:29: required from ‘Type objective_function::operator()() [with Type = double]’ 831 | eta_iid_re_i.col(m) += Zt_list(m).row(j) * col_vec(j); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:121:5: required from ‘density::MVNORM_t::MVNORM_t(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 121 | setSigma(Sigma_, use_atomic); | ^~~~~~~~ sdmTMB.cpp:1147:18: required from ‘Type objective_function::operator()() [with Type = double]’ 1147 | MVNORM_t neg_log_dmvnorm(priors_b_Sigma); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:121:5: required from ‘density::MVNORM_t::MVNORM_t(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 121 | setSigma(Sigma_, use_atomic); | ^~~~~~~~ sdmTMB.cpp:1147:18: required from ‘Type objective_function::operator()() [with Type = double]’ 1147 | MVNORM_t neg_log_dmvnorm(priors_b_Sigma); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >’ 1384 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 1464 | struct unary_evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:121:5: required from ‘density::MVNORM_t::MVNORM_t(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 121 | setSigma(Sigma_, use_atomic); | ^~~~~~~~ sdmTMB.cpp:1147:18: required from ‘Type objective_function::operator()() [with Type = double]’ 1147 | MVNORM_t neg_log_dmvnorm(priors_b_Sigma); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >’ 1384 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 1464 | struct unary_evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:121:5: required from ‘density::MVNORM_t::MVNORM_t(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 121 | setSigma(Sigma_, use_atomic); | ^~~~~~~~ sdmTMB.cpp:1147:18: required from ‘Type objective_function::operator()() [with Type = double]’ 1147 | MVNORM_t neg_log_dmvnorm(priors_b_Sigma); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Array > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:148:28: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 148 | logdetS = D.log().sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:121:5: required from ‘density::MVNORM_t::MVNORM_t(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 121 | setSigma(Sigma_, use_atomic); | ^~~~~~~~ sdmTMB.cpp:1147:18: required from ‘Type objective_function::operator()() [with Type = double]’ 1147 | MVNORM_t neg_log_dmvnorm(priors_b_Sigma); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Array, const Eigen::Array > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:153:37: required from ‘density::MVNORM_t::scalartype density::MVNORM_t::Quadform(vectortype) [with scalartype_ = double; scalartype = double; vectortype = tmbutils::vector]’ 153 | return (x*(vectortype(Q*x))).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:157:53: required from ‘density::MVNORM_t::scalartype density::MVNORM_t::operator()(vectortype) [with scalartype_ = double; scalartype = double; vectortype = tmbutils::vector]’ 157 | return -scalartype(.5)*logdetQ + scalartype(.5)*Quadform(x) + x.size()*scalartype(log(sqrt(2.0*M_PI))); | ^~~~~~~~ sdmTMB.cpp:1162:30: required from ‘Type objective_function::operator()() [with Type = double]’ 1162 | jnll += neg_log_dmvnorm(b_j_subset - b_mean_subset); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:143:18: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 143 | dst.setZero(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from ‘Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 145 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sdmTMB.cpp:1285:34: required from ‘Type objective_function::operator()() [with Type = double]’ 1285 | proj_iid_re_i.col(m) += Zt_list_proj(m).row(j) * col_vec(j); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block >, -1, 1, true>; VectorY = Eigen::Block >, -1, 1, true>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map >; Eigen::Index = long int]’ 315 | internal::apply_rotation_in_the_plane(x, y, j.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ 895 | q.applyOnTheRight(k,k+1,rot); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ 548 | internal::tridiagonal_qr_step(diag.data(), subdiag.data(), start, end, computeEigenvectors ? eivec.data() : (Scalar*)0, n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, -1, 1, false> >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:323:14: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ 323 | this->visit(minVisitor); | ~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:496:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ 496 | return minCoeff(index); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:35: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ 563 | diag.segment(i,n-i).minCoeff(&k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::MatrixWrapper >, 0> > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::MatrixWrapper >, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::MatrixWrapper >, 0> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::MatrixWrapper >, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::MatrixWrapper >, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:887:46: required from ‘density::GMRF_t::scalartype density::GMRF_t::Quadform(vectortype) [with scalartype_ = double; scalartype = double; vectortype = tmbutils::vector]’ 887 | return (x * (Q * x.matrix()).array()).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:890:57: required from ‘density::GMRF_t::scalartype density::GMRF_t::operator()(vectortype) [with scalartype_ = double; scalartype = double; vectortype = tmbutils::vector]’ 890 | return -scalartype(.5) * logdetQ + scalartype(.5) * Quadform(x) + x.size() * scalartype(log(sqrt(2.0 * M_PI))); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:970:21: required from ‘density::SCALE_t::scalartype density::SCALE_t::operator()(arraytype) [with distribution = density::GMRF_t; scalartype = double; arraytype = tmbutils::array]’ 970 | scalartype ans=f(x/scale); | ~^~~~~~~~~ sdmTMB.cpp:477:70: required from ‘Type objective_function::operator()() [with Type = double]’ 477 | PARALLEL_REGION jnll += SCALE(GMRF(Q_temp, s), spatial_scale)(omega_s.col(m)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:167:44: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:121:5: required from ‘density::MVNORM_t::MVNORM_t(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 121 | setSigma(Sigma_, use_atomic); | ^~~~~~~~ sdmTMB.cpp:1147:18: required from ‘Type objective_function::operator()() [with Type = double]’ 1147 | MVNORM_t neg_log_dmvnorm(priors_b_Sigma); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:333: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 87 | typedef typename Traits::LhsPacket LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 91 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 95 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl >, Eigen::SolverStorage>’ 68 | class InverseImpl | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse > >’ 43 | class Inverse : public InverseImpl::StorageKind> | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:43: required from ‘static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; int Size = -1]’ 28 | result = matrix.partialPivLu().inverse(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:36:36: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 453 | RealScalar scale = mat.cwiseAbs().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 93 | essential = tail / (c0 - beta); | ~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ 34 | (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ 35 | + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ 34 | (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 35 | + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:121:5: required from ‘density::MVNORM_t::MVNORM_t(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 121 | setSigma(Sigma_, use_atomic); | ^~~~~~~~ sdmTMB.cpp:1147:18: required from ‘Type objective_function::operator()() [with Type = double]’ 1147 | MVNORM_t neg_log_dmvnorm(priors_b_Sigma); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:121:5: required from ‘density::MVNORM_t::MVNORM_t(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 121 | setSigma(Sigma_, use_atomic); | ^~~~~~~~ sdmTMB.cpp:1147:18: required from ‘Type objective_function::operator()() [with Type = double]’ 1147 | MVNORM_t neg_log_dmvnorm(priors_b_Sigma); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:121:5: required from ‘density::MVNORM_t::MVNORM_t(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 121 | setSigma(Sigma_, use_atomic); | ^~~~~~~~ sdmTMB.cpp:1147:18: required from ‘Type objective_function::operator()() [with Type = double]’ 1147 | MVNORM_t neg_log_dmvnorm(priors_b_Sigma); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ 178 | generic_product_impl::subTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:121:5: required from ‘density::MVNORM_t::MVNORM_t(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 121 | setSigma(Sigma_, use_atomic); | ^~~~~~~~ sdmTMB.cpp:1147:18: required from ‘Type objective_function::operator()() [with Type = double]’ 1147 | MVNORM_t neg_log_dmvnorm(priors_b_Sigma); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:143:18: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 143 | dst.setZero(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18: required from ‘Derived& Eigen::DenseBase::operator+=(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 145 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sdmTMB.cpp:1285:34: required from ‘Type objective_function::operator()() [with Type = double]’ 1285 | proj_iid_re_i.col(m) += Zt_list_proj(m).row(j) * col_vec(j); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:330: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:147:40: required from ‘void Eigen::internal::evaluateProductBlockingSizesHeuristic(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]’ 147 | typedef typename Traits::ResScalar ResScalar; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:342:81: required from ‘void Eigen::internal::computeProductBlockingSizes(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]’ 342 | evaluateProductBlockingSizesHeuristic(k, m, n, num_threads); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:355:66: required from ‘Eigen::internal::gemm_blocking_space::gemm_blocking_space(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, bool) [with int StorageOrder = 0; _LhsScalar = double; _RhsScalar = double; int MaxRows = -1; int MaxCols = -1; int MaxDepth = -1; int KcFactor = 1; Eigen::Index = long int]’ 355 | computeProductBlockingSizes(this->m_kc, this->m_mc, this->m_nc, num_threads); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:507:18: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 507 | BlockingType blocking(dst.rows(), dst.cols(), lhs.cols(), 1, true); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 82 | gebp_kernel gebp; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 82 | gebp_kernel gebp; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 184 | pack_lhs(blockA, lhs.getSubMapper(i2,k2), actual_kc, actual_mc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:195:21: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 195 | pack_rhs(blockB, rhs.getSubMapper(k2,j2), actual_kc, actual_nc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:198:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 198 | gebp(res.getSubMapper(i2, j2), blockA, blockB, actual_mc, actual_kc, actual_nc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:56:31: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:56:31: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:56:31: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:56:31: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:46: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 533 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 539 | double res=LUdiag.abs().log().sum(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 71 | CppAD::vector yd = ATOMIC_NAME(xd); \ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:276:21: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 276 | matrixtype llt=L*L.transpose(); | ~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:290:10: required from ‘density::UNSTRUCTURED_CORR_t density::UNSTRUCTURED_CORR(tmbutils::vector) [with scalartype = double]’ 290 | return UNSTRUCTURED_CORR_t(x); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sdmTMB.cpp:667:47: required from ‘Type objective_function::operator()() [with Type = double]’ 667 | jnll += VECSCALE(UNSTRUCTURED_CORR(unconstrained_params),sds)(b_re_vec); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:276:21: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 276 | matrixtype llt=L*L.transpose(); | ~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:290:10: required from ‘density::UNSTRUCTURED_CORR_t density::UNSTRUCTURED_CORR(tmbutils::vector) [with scalartype = double]’ 290 | return UNSTRUCTURED_CORR_t(x); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sdmTMB.cpp:667:47: required from ‘Type objective_function::operator()() [with Type = double]’ 667 | jnll += VECSCALE(UNSTRUCTURED_CORR(unconstrained_params),sds)(b_re_vec); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::MatrixWrapper >, 0>; OtherDerived = Eigen::Product, Eigen::MatrixWrapper >, 0>; Derived = Eigen::Array]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:210:31: required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::Product, Eigen::MatrixWrapper >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 210 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:24:22: required from ‘tmbutils::vector::vector(T1) [with T1 = Eigen::Product, Eigen::MatrixWrapper >, 0>; Type = double]’ 24 | vector(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/convenience.hpp:43:12: required from ‘tmbutils::vector operator*(tmbutils::matrix, tmbutils::vector) [with Type = double]’ 43 | return A * x.matrix(); | ~~^~~~~~~~~~~~ sdmTMB.cpp:767:46: required from ‘Type objective_function::operator()() [with Type = double]’ 767 | if (m == 0) eta_fixed_i.col(m) = X_ij(m) * b_j; | ~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:121:5: required from ‘density::MVNORM_t::MVNORM_t(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 121 | setSigma(Sigma_, use_atomic); | ^~~~~~~~ sdmTMB.cpp:1147:18: required from ‘Type objective_function::operator()() [with Type = double]’ 1147 | MVNORM_t neg_log_dmvnorm(priors_b_Sigma); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:121:5: required from ‘density::MVNORM_t::MVNORM_t(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 121 | setSigma(Sigma_, use_atomic); | ^~~~~~~~ sdmTMB.cpp:1147:18: required from ‘Type objective_function::operator()() [with Type = double]’ 1147 | MVNORM_t neg_log_dmvnorm(priors_b_Sigma); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Array]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:210:31: required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 210 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:24:22: required from ‘tmbutils::vector::vector(T1) [with T1 = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Type = double]’ 24 | vector(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:31:47: required from ‘Type atomic::Block::norm() [with Type = double]’ 31 | vector rsAabs = Aabs.rowwise().sum(); | ~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:237:37: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 237 | double log2NormInf = log( A.norm() ); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 2, -1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from ‘PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]’ 217 | PanelEvaluator panel_eval(panel); | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ 681 | m_functor.template assignPacket(&m_dst.coeffRef(index), m_src.template packet(index)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75: required from ‘static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >, Eigen::internal::assign_op, 0>]’ 437 | kernel.template assignPacket(index); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::PartialReduxExpr, member_sum, 1>; Functor = assign_op]’ 785 | dense_assignment_loop::run(kernel); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Array]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:210:31: required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 210 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:24:22: required from ‘tmbutils::vector::vector(T1) [with T1 = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Type = double]’ 24 | vector(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:31:47: required from ‘Type atomic::Block::norm() [with Type = double]’ 31 | vector rsAabs = Aabs.rowwise().sum(); | ~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:237:37: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 237 | double log2NormInf = log( A.norm() ); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 366 | dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]’ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:56:31: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:56:31: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 366 | dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]’ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:276:21: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 276 | matrixtype llt=L*L.transpose(); | ~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:290:10: required from ‘density::UNSTRUCTURED_CORR_t density::UNSTRUCTURED_CORR(tmbutils::vector) [with scalartype = double]’ 290 | return UNSTRUCTURED_CORR_t(x); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sdmTMB.cpp:667:47: required from ‘Type objective_function::operator()() [with Type = double]’ 667 | jnll += VECSCALE(UNSTRUCTURED_CORR(unconstrained_params),sds)(b_re_vec); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:121:5: required from ‘density::MVNORM_t::MVNORM_t(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 121 | setSigma(Sigma_, use_atomic); | ^~~~~~~~ sdmTMB.cpp:1147:18: required from ‘Type objective_function::operator()() [with Type = double]’ 1147 | MVNORM_t neg_log_dmvnorm(priors_b_Sigma); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:121:5: required from ‘density::MVNORM_t::MVNORM_t(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 121 | setSigma(Sigma_, use_atomic); | ^~~~~~~~ sdmTMB.cpp:1147:18: required from ‘Type objective_function::operator()() [with Type = double]’ 1147 | MVNORM_t neg_log_dmvnorm(priors_b_Sigma); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Solve, 1>, Eigen::Matrix >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:146:9: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 146 | Q = ldlt.solve(I); | ~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:121:5: required from ‘density::MVNORM_t::MVNORM_t(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 121 | setSigma(Sigma_, use_atomic); | ^~~~~~~~ sdmTMB.cpp:1147:18: required from ‘Type objective_function::operator()() [with Type = double]’ 1147 | MVNORM_t neg_log_dmvnorm(priors_b_Sigma); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 2>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Solve, 1>, Eigen::Matrix >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:146:9: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 146 | Q = ldlt.solve(I); | ~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:121:5: required from ‘density::MVNORM_t::MVNORM_t(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 121 | setSigma(Sigma_, use_atomic); | ^~~~~~~~ sdmTMB.cpp:1147:18: required from ‘Type objective_function::operator()() [with Type = double]’ 1147 | MVNORM_t neg_log_dmvnorm(priors_b_Sigma); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 81 | gemm_pack_rhs pack_rhs; | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<-1, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<-1, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<-1, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]’ 288 | typename internal::enable_if::MatchAtCompileTime),Derived>::type* = 0); | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 463 | BlockType A_0 = lu.block(0,0,rows,k); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:30: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::MatrixWrapper >, 0>; OtherDerived = Eigen::Product, Eigen::MatrixWrapper >, 0>; Derived = Eigen::Array]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:210:31: required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::Product, Eigen::MatrixWrapper >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 210 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:24:22: required from ‘tmbutils::vector::vector(T1) [with T1 = Eigen::Product, Eigen::MatrixWrapper >, 0>; Type = double]’ 24 | vector(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/convenience.hpp:43:12: required from ‘tmbutils::vector operator*(tmbutils::matrix, tmbutils::vector) [with Type = double]’ 43 | return A * x.matrix(); | ~~^~~~~~~~~~~~ sdmTMB.cpp:767:46: required from ‘Type objective_function::operator()() [with Type = double]’ 767 | if (m == 0) eta_fixed_i.col(m) = X_ij(m) * b_j; | ~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 78 | RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:56:31: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:56:31: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:56:31: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:56:31: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 377 | = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:276:21: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 276 | matrixtype llt=L*L.transpose(); | ~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:290:10: required from ‘density::UNSTRUCTURED_CORR_t density::UNSTRUCTURED_CORR(tmbutils::vector) [with scalartype = double]’ 290 | return UNSTRUCTURED_CORR_t(x); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sdmTMB.cpp:667:47: required from ‘Type objective_function::operator()() [with Type = double]’ 667 | jnll += VECSCALE(UNSTRUCTURED_CORR(unconstrained_params),sds)(b_re_vec); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:276:21: required from ‘density::UNSTRUCTURED_CORR_t::UNSTRUCTURED_CORR_t(vectortype) [with scalartype_ = double; vectortype = tmbutils::vector]’ 276 | matrixtype llt=L*L.transpose(); | ~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:290:10: required from ‘density::UNSTRUCTURED_CORR_t density::UNSTRUCTURED_CORR(tmbutils::vector) [with scalartype = double]’ 290 | return UNSTRUCTURED_CORR_t(x); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sdmTMB.cpp:667:47: required from ‘Type objective_function::operator()() [with Type = double]’ 667 | jnll += VECSCALE(UNSTRUCTURED_CORR(unconstrained_params),sds)(b_re_vec); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:121:5: required from ‘density::MVNORM_t::MVNORM_t(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 121 | setSigma(Sigma_, use_atomic); | ^~~~~~~~ sdmTMB.cpp:1147:18: required from ‘Type objective_function::operator()() [with Type = double]’ 1147 | MVNORM_t neg_log_dmvnorm(priors_b_Sigma); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:121:5: required from ‘density::MVNORM_t::MVNORM_t(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 121 | setSigma(Sigma_, use_atomic); | ^~~~~~~~ sdmTMB.cpp:1147:18: required from ‘Type objective_function::operator()() [with Type = double]’ 1147 | MVNORM_t neg_log_dmvnorm(priors_b_Sigma); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, const Eigen::Block > >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, const Eigen::Block > >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, const Eigen::Block > >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, const Eigen::Block > >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, const Eigen::Block > >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, const Eigen::Block > >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval > >, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl > >, const Eigen::Block > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, Eigen::Transpose > >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true>, Eigen::Transpose > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true>, Eigen::Transpose > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, 1, -1, true>, Eigen::Transpose > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, 1, -1, true>, Eigen::Transpose > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, 1, -1, true>, Eigen::Transpose > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval > >, 1, -1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl > >, 1, -1, true>, Eigen::Transpose > >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block > >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block > >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block > >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block > >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block > >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block > >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, Eigen::Transpose > >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false>, Eigen::Transpose > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false>, Eigen::Transpose > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, false>, Eigen::Transpose > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, false>, Eigen::Transpose > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, false>, Eigen::Transpose > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, 1, -1, false>, Eigen::Transpose > >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, const Eigen::Block >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, const Eigen::Block >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, const Eigen::Block >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, const Eigen::Block >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, const Eigen::Block >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, const Eigen::Block >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl > >, const Eigen::Block >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, Eigen::Map >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true>, Eigen::Map >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true>, Eigen::Map >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, 1, -1, true>, Eigen::Map >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, 1, -1, true>, Eigen::Map >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, 1, -1, true>, Eigen::Map >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, Eigen::Map >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false>, Eigen::Map >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false>, Eigen::Map >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, false>, Eigen::Map >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, false>, Eigen::Map >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, false>, Eigen::Map >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:587:39: required from ‘static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op::Scalar>&) [with DstXprType = Eigen::Matrix; MatrixType = Eigen::Matrix; SrcXprType = Eigen::Inverse > >; typename DstXprType::Scalar = double; typename Eigen::PartialPivLU::Scalar = double]’ 587 | dst = src.nestedExpression().solve(MatrixType::Identity(src.rows(), src.cols())); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:36:36: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:337: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]’ 227 | internal::selfadjoint_matrix_vector_product::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’ 805 | selfadjoint_product_impl::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 62 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 63 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::MatrixWrapper >, 0>; OtherDerived = Eigen::Product, Eigen::MatrixWrapper >, 0>; Derived = Eigen::Array]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:210:31: required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::Product, Eigen::MatrixWrapper >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 210 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:24:22: required from ‘tmbutils::vector::vector(T1) [with T1 = Eigen::Product, Eigen::MatrixWrapper >, 0>; Type = double]’ 24 | vector(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/convenience.hpp:43:12: required from ‘tmbutils::vector operator*(tmbutils::matrix, tmbutils::vector) [with Type = double]’ 43 | return A * x.matrix(); | ~~^~~~~~~~~~~~ sdmTMB.cpp:767:46: required from ‘Type objective_function::operator()() [with Type = double]’ 767 | if (m == 0) eta_fixed_i.col(m) = X_ij(m) * b_j; | ~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Transpose > >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Transpose > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Transpose > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Transpose > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Transpose > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Transpose > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, 1, -1, true>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, 1, -1, true>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose > >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Map >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Map >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Map >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Map >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Map >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Map >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Map >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Map >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Map >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Map >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Map >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Map >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:166: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68: required from ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’ 89 | Index alignedStart = (starti) + internal::first_default_aligned(&res[starti], endi-starti); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]’ 227 | internal::selfadjoint_matrix_vector_product::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’ 805 | selfadjoint_product_impl::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 169 | this->col(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 131 | this->row(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:56:31: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:121:5: required from ‘density::MVNORM_t::MVNORM_t(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 121 | setSigma(Sigma_, use_atomic); | ^~~~~~~~ sdmTMB.cpp:1147:18: required from ‘Type objective_function::operator()() [with Type = double]’ 1147 | MVNORM_t neg_log_dmvnorm(priors_b_Sigma); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:145:63: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 145 | Eigen::LDLT > ldlt(Sigma); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:121:5: required from ‘density::MVNORM_t::MVNORM_t(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 121 | setSigma(Sigma_, use_atomic); | ^~~~~~~~ sdmTMB.cpp:1147:18: required from ‘Type objective_function::operator()() [with Type = double]’ 1147 | MVNORM_t neg_log_dmvnorm(priors_b_Sigma); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 155 | pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 5]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:581:60: required from ‘void Eigen::LDLT::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::Matrix; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 581 | matrixL().template conjugateIf().solveInPlace(dst); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:569:31: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Solve, 1>, Eigen::Matrix >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:146:9: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 146 | Q = ldlt.solve(I); | ~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:121:5: required from ‘density::MVNORM_t::MVNORM_t(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 121 | setSigma(Sigma_, use_atomic); | ^~~~~~~~ sdmTMB.cpp:1147:18: required from ‘Type objective_function::operator()() [with Type = double]’ 1147 | MVNORM_t neg_log_dmvnorm(priors_b_Sigma); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 6; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 162 | pack_lhs(blockA, tri.getSubMapper(startTarget,startBlock), actualPanelWidth, lengthTarget); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 6]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 6]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:606:71: required from ‘void Eigen::LDLT::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::Matrix; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 606 | matrixL().transpose().template conjugateIf().solveInPlace(dst); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:569:31: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::Solve, 1>, Eigen::Matrix >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:146:9: required from ‘void density::MVNORM_t::setSigma(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 146 | Q = ldlt.solve(I); | ~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:121:5: required from ‘density::MVNORM_t::MVNORM_t(matrixtype, bool) [with scalartype_ = double; matrixtype = tmbutils::matrix]’ 121 | setSigma(Sigma_, use_atomic); | ^~~~~~~~ sdmTMB.cpp:1147:18: required from ‘Type objective_function::operator()() [with Type = double]’ 1147 | MVNORM_t neg_log_dmvnorm(priors_b_Sigma); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>; U = Eigen::Block > >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block > >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>; U = Eigen::Block > >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>, 1, -1, true>; U = Eigen::Block > >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 73 | triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, 1, -1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:483:24: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 274 | evaluator rhsEval(rhs); | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]’ 329 | internal::outer_product_selector_run(dst, lhs, rhs, sub(), is_row_major()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]’ 178 | generic_product_impl::subTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, 1, -1, true>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 182 | return coeff(index); | ~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose > >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose > >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map >; Rhs = Eigen::Map >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >; Rhs = Eigen::Transpose, -1, 1, false> >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>; Derived = Eigen::Block > >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:36:36: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator > >, Eigen::Map >, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ 654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col)); | ~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ 194 | ::run(rhs.transpose(),lhs.transpose(), dstT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 150 | Matrix triangularBuffer(a); | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 0> >’ 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 153 | triangularBuffer.diagonal().setZero(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ 341 | dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:119:18: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ 137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ 654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col)); | ~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1050:11: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:36:36: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ 137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 39 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:36:36: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1171:20: required from ‘void newton::NewtonOperator::reverse(TMBad::ReverseArgs&) [with T = double; Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1171 | vector w2 = - hessian -> solve(hessian, hv, w); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1173:36: required from ‘void newton::NewtonOperator::reverse(TMBad::ReverseArgs&) [with T = double; Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1173 | args.dx_segment(0, n) += g.tail(n); | ~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:554:1: required from ‘void atomic::invpdOp::reverse(TMBad::ReverseArgs) [with Type = double; dummy = void]’ 582 | matrix res=-matmul(Yt,tmp); // -f2(X)^T*W2*f2(X)^T | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::invpdOp<>]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:554:1: required from ‘void atomic::invpdOp::reverse(TMBad::ReverseArgs) [with Type = double; dummy = void]’ 583 | res = res + Y*W1; | ~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::invpdOp<>]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:74:1: required from ‘void atomic::logspace_addOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 1; int ninput = 2; int noutput = 2; long int mask = 9]’ 211 | Eigen::Matrix w; \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::logspace_addOp<1, 2, 2, 9>]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:74:1: required from ‘void atomic::logspace_addOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 1; int ninput = 2; int noutput = 2; long int mask = 9]’ 214 | Eigen::Matrix ty; \ | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::logspace_addOp<1, 2, 2, 9>]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:74:1: required from ‘void atomic::logspace_addOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 1; int ninput = 2; int noutput = 2; long int mask = 9]’ 216 | Eigen::Matrix tyw = ty * w; \ | ~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::logspace_addOp<1, 2, 2, 9>]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:74:1: required from ‘void atomic::logspace_addOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 0; int ninput = 2; int noutput = 1; long int mask = 9]’ 216 | Eigen::Matrix tyw = ty * w; \ | ~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::logspace_addOp<0, 2, 1, 9>]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:70:1: required from ‘void atomic::log_dbinom_robustOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 1; int ninput = 3; int noutput = 1; long int mask = 1]’ 216 | Eigen::Matrix tyw = ty * w; \ | ~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::log_dbinom_robustOp<1, 3, 1, 1>]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:85:17: required from ‘newton::vector::vector(const std::vector&) [with Type = double]’ 85 | Base(Eigen::Map (x.data(), x.size())) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1154:44: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1154 | vector sol = function.DomainVec(); | ~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:11: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:171:40: required from ‘newton::vector newton::HessianSolveVector::solve(const newton::vector&, const newton::vector&) [with Hessian_Type = newton::jacobian_sparse_t > >]’ 171 | matrix xm = x.matrix(); | ~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:191:33: required from ‘void newton::HessianSolveVector::forward(TMBad::ForwardArgs&) [with Hessian_Type = newton::jacobian_sparse_t > >]’ 191 | args.y_segment(0, n) = solve(h, x); | ~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::HessianSolveVector > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1059:51: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1059 | vector diag_cpy = H.diagonal().array(); | ~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:277:22: required from ‘newton::matrix newton::jacobian_dense_t::llt_solve(const newton::matrix&, const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 277 | return llt->solve(x); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:383:22: required from ‘newton::matrix newton::jacobian_sparse_t::llt_solve(const Eigen::SparseMatrix&, const newton::matrix&) [with Factorization = Eigen::SimplicialLDLT >]’ 383 | return llt->solve(x); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:173:51: required from ‘newton::vector newton::HessianSolveVector::solve(const newton::vector&, const newton::vector&) [with Hessian_Type = newton::jacobian_sparse_t > >]’ 173 | vector y = hessian -> llt_solve(H, xm).vec(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:191:33: required from ‘void newton::HessianSolveVector::forward(TMBad::ForwardArgs&) [with Hessian_Type = newton::jacobian_sparse_t > >]’ 191 | args.y_segment(0, n) = solve(h, x); | ~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::HessianSolveVector > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 5> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 5, Eigen::Sparse>’ 25 | template class TriangularViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 5>’ 187 | template class TriangularView | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:629:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 629 | R = (*(H->llt)).matrixL().solve(R); | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 5>, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 5>, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 5>, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:629:36: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 629 | R = (*(H->llt)).matrixL().solve(R); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:656:32: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 656 | matrix Rtmp = Dtmp * Rpos; | ~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Inverse >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Inverse >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Inverse >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Inverse >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Inverse >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:674:40: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 674 | matrix S2 = (h.H0.inverse()+T).inverse(); | ~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Inverse >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Inverse >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Inverse >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl, const Eigen::Inverse >, const Eigen::Matrix >, Eigen::Dense>’ 68 | class InverseImpl | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse, const Eigen::Inverse >, const Eigen::Matrix > >’ 43 | class Inverse : public InverseImpl::StorageKind> | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:674:51: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 674 | matrix S2 = (h.H0.inverse()+T).inverse(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:675:67: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 675 | matrix Test2 = AXAT(Rneg, h.H0) - AXAT(Rneg, h.H0, T) + AXAT(Rneg, h.H0, T, S2); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:38: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:72: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:50: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:383:22: required from ‘newton::matrix newton::jacobian_sparse_t::llt_solve(const Eigen::SparseMatrix&, const newton::matrix&) [with Factorization = Eigen::SimplicialLLT >]’ 383 | return llt->solve(x); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:173:51: required from ‘newton::vector newton::HessianSolveVector::solve(const newton::vector&, const newton::vector&) [with Hessian_Type = newton::jacobian_sparse_t > >]’ 173 | vector y = hessian -> llt_solve(H, xm).vec(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:191:33: required from ‘void newton::HessianSolveVector::forward(TMBad::ForwardArgs&) [with Hessian_Type = newton::jacobian_sparse_t > >]’ 191 | args.y_segment(0, n) = solve(h, x); | ~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::HessianSolveVector > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:629:36: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLLT >]’ 629 | R = (*(H->llt)).matrixL().solve(R); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:164:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator[](Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’ 164 | return coeff(index); | ~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:245:46: required from ‘TMBad::segment_ref& TMBad::segment_ref::operator+=(const Other&) [with Other = Eigen::VectorBlock, -1>; Args = TMBad::ReverseArgs; TMBad::ArrayAccess What = TMBad::dx_write]’ 245 | element_access(args, from + i) += other[i]; | ~~~~~^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1173:27: required from ‘void newton::NewtonOperator::reverse(TMBad::ReverseArgs&) [with T = double; Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1173 | args.dx_segment(0, n) += g.tail(n); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Matrix, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, Eigen::Matrix, 0> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:549:37: required from ‘T newton::jacobian_sparse_plus_lowrank_t::sparse_plus_lowrank::diagonal_min() const [with T = double; Fac = Eigen::SimplicialLDLT >]’ 549 | vector D2 = ((G * H0).array() * G.array()).rowwise().sum(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:127:24: required from ‘typename MatrixType::value_type newton::diagonal_min(const MatrixType&) [with MatrixType = jacobian_sparse_plus_lowrank_t > >::sparse_plus_lowrank; typename MatrixType::value_type = double]’ 127 | return M.diagonal_min(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1061:30: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1061 | Scalar m = diagonal_min(H); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:549:40: required from ‘T newton::jacobian_sparse_plus_lowrank_t::sparse_plus_lowrank::diagonal_min() const [with T = double; Fac = Eigen::SimplicialLDLT >]’ 549 | vector D2 = ((G * H0).array() * G.array()).rowwise().sum(); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:127:24: required from ‘typename MatrixType::value_type newton::diagonal_min(const MatrixType&) [with MatrixType = jacobian_sparse_plus_lowrank_t > >::sparse_plus_lowrank; typename MatrixType::value_type = double]’ 127 | return M.diagonal_min(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1061:30: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1061 | Scalar m = diagonal_min(H); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:549:66: required from ‘T newton::jacobian_sparse_plus_lowrank_t::sparse_plus_lowrank::diagonal_min() const [with T = double; Fac = Eigen::SimplicialLDLT >]’ 549 | vector D2 = ((G * H0).array() * G.array()).rowwise().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:127:24: required from ‘typename MatrixType::value_type newton::diagonal_min(const MatrixType&) [with MatrixType = jacobian_sparse_plus_lowrank_t > >::sparse_plus_lowrank; typename MatrixType::value_type = double]’ 127 | return M.diagonal_min(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1061:30: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1061 | Scalar m = diagonal_min(H); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:550:36: required from ‘T newton::jacobian_sparse_plus_lowrank_t::sparse_plus_lowrank::diagonal_min() const [with T = double; Fac = Eigen::SimplicialLDLT >]’ 550 | return (H.diagonal().array() + D2).minCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:127:24: required from ‘typename MatrixType::value_type newton::diagonal_min(const MatrixType&) [with MatrixType = jacobian_sparse_plus_lowrank_t > >::sparse_plus_lowrank; typename MatrixType::value_type = double]’ 127 | return M.diagonal_min(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1061:30: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1061 | Scalar m = diagonal_min(H); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalMatrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalMatrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalMatrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Array > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1037:36: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1037 | Scalar mgc = g.abs().maxCoeff(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:74:1: required from ‘void atomic::logspace_addOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 1; int ninput = 2; int noutput = 2; long int mask = 9]’ 216 | Eigen::Matrix tyw = ty * w; \ | ~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::logspace_addOp<1, 2, 2, 9>]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:74:1: required from ‘void atomic::logspace_addOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 0; int ninput = 2; int noutput = 1; long int mask = 9]’ 216 | Eigen::Matrix tyw = ty * w; \ | ~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::logspace_addOp<0, 2, 1, 9>]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 1; int _Cols = 1; int _Options = 0; int _MaxRows = 1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:70:1: required from ‘void atomic::log_dbinom_robustOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 1; int ninput = 3; int noutput = 1; long int mask = 1]’ 216 | Eigen::Matrix tyw = ty * w; \ | ~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::log_dbinom_robustOp<1, 3, 1, 1>]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 1; int _Cols = 1; int _Options = 0; int _MaxRows = 1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:70:1: required from ‘void atomic::log_dbinom_robustOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 1; int ninput = 3; int noutput = 1; long int mask = 1]’ 216 | Eigen::Matrix tyw = ty * w; \ | ~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::log_dbinom_robustOp<1, 3, 1, 1>]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 233 | gemm_pack_rhs pack_rhs_panel; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 319 | pack_lhs_panel(blockA, lhs.getSubMapper(i2,absolute_j2), | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 320 | actualPanelWidth, actual_mc, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 321 | actual_kc, j2); | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from ‘void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’ 155 | Matrix buffer((internal::constructor_without_unaligned_array_assert())); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 116 | sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47: required from ‘struct Eigen::internal::traits, const Eigen::Matrix > > >’ 278 | typedef typename DiagonalVectorType::Scalar Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:383:22: required from ‘newton::matrix newton::jacobian_sparse_t::llt_solve(const Eigen::SparseMatrix&, const newton::matrix&) [with Factorization = Eigen::SimplicialLDLT >]’ 383 | return llt->solve(x); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:173:51: required from ‘newton::vector newton::HessianSolveVector::solve(const newton::vector&, const newton::vector&) [with Hessian_Type = newton::jacobian_sparse_t > >]’ 173 | vector y = hessian -> llt_solve(H, xm).vec(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:191:33: required from ‘void newton::HessianSolveVector::forward(TMBad::ForwardArgs&) [with Hessian_Type = newton::jacobian_sparse_t > >]’ 191 | args.y_segment(0, n) = solve(h, x); | ~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::HessianSolveVector > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:181:46: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:383:22: required from ‘newton::matrix newton::jacobian_sparse_t::llt_solve(const Eigen::SparseMatrix&, const newton::matrix&) [with Factorization = Eigen::SimplicialLDLT >]’ 383 | return llt->solve(x); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:173:51: required from ‘newton::vector newton::HessianSolveVector::solve(const newton::vector&, const newton::vector&) [with Hessian_Type = newton::jacobian_sparse_t > >]’ 173 | vector y = hessian -> llt_solve(H, xm).vec(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:191:33: required from ‘void newton::HessianSolveVector::forward(TMBad::ForwardArgs&) [with Hessian_Type = newton::jacobian_sparse_t > >]’ 191 | args.y_segment(0, n) = solve(h, x); | ~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::HessianSolveVector > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 6> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>’ 25 | template class TriangularViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 6>’ 187 | template class TriangularView | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:184:26: required from ‘void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLDLT >]’ 184 | derived().matrixU().solveInPlace(dest); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLDLT >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:383:22: required from ‘newton::matrix newton::jacobian_sparse_t::llt_solve(const Eigen::SparseMatrix&, const newton::matrix&) [with Factorization = Eigen::SimplicialLDLT >]’ 383 | return llt->solve(x); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:173:51: required from ‘newton::vector newton::HessianSolveVector::solve(const newton::vector&, const newton::vector&) [with Hessian_Type = newton::jacobian_sparse_t > >]’ 173 | vector y = hessian -> llt_solve(H, xm).vec(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:191:33: required from ‘void newton::HessianSolveVector::forward(TMBad::ForwardArgs&) [with Hessian_Type = newton::jacobian_sparse_t > >]’ 191 | args.y_segment(0, n) = solve(h, x); | ~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::HessianSolveVector > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 2> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>’ 25 | template class TriangularViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 2>’ 187 | template class TriangularView | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:184:26: required from ‘void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLLT >]’ 184 | derived().matrixU().solveInPlace(dest); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:383:22: required from ‘newton::matrix newton::jacobian_sparse_t::llt_solve(const Eigen::SparseMatrix&, const newton::matrix&) [with Factorization = Eigen::SimplicialLLT >]’ 383 | return llt->solve(x); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:173:51: required from ‘newton::vector newton::HessianSolveVector::solve(const newton::vector&, const newton::vector&) [with Hessian_Type = newton::jacobian_sparse_t > >]’ 173 | vector y = hessian -> llt_solve(H, xm).vec(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:191:33: required from ‘void newton::HessianSolveVector::forward(TMBad::ForwardArgs&) [with Hessian_Type = newton::jacobian_sparse_t > >]’ 191 | args.y_segment(0, n) = solve(h, x); | ~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::HessianSolveVector > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalMatrix, 1>, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1>, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalMatrix, 1>, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalMatrix, 1>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalMatrix, 1>, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalMatrix, 1>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalMatrix, 1>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalMatrix, 1>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalMatrix, 1>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalMatrix, 1>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalMatrix, 1>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalMatrix, 1>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalMatrix, 1>, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalMatrix, 1>, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 366 | dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalMatrix, 1>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, Eigen::DiagonalMatrix, 1>, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]’ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 2, -1, true> >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:127:24: required from ‘typename MatrixType::value_type newton::diagonal_min(const MatrixType&) [with MatrixType = jacobian_sparse_plus_lowrank_t > >::sparse_plus_lowrank; typename MatrixType::value_type = double]’ 127 | return M.diagonal_min(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1061:30: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1061 | Scalar m = diagonal_min(H); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 2, -1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from ‘PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]’ 217 | PanelEvaluator panel_eval(panel); | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ 681 | m_functor.template assignPacket(&m_dst.coeffRef(index), m_src.template packet(index)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75: required from ‘static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >, Eigen::internal::assign_op, 0>]’ 437 | kernel.template assignPacket(index); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >, member_sum, 1>; Functor = assign_op]’ 785 | dense_assignment_loop::run(kernel); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:127:24: required from ‘typename MatrixType::value_type newton::diagonal_min(const MatrixType&) [with MatrixType = jacobian_sparse_plus_lowrank_t > >::sparse_plus_lowrank; typename MatrixType::value_type = double]’ 127 | return M.diagonal_min(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1061:30: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1061 | Scalar m = diagonal_min(H); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalMatrix, 1>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:127:24: required from ‘typename MatrixType::value_type newton::diagonal_min(const MatrixType&) [with MatrixType = jacobian_sparse_plus_lowrank_t > >::sparse_plus_lowrank; typename MatrixType::value_type = double]’ 127 | return M.diagonal_min(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1061:30: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1061 | Scalar m = diagonal_min(H); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:644:46: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 644 | D = (perm.transpose() * D.matrix()).array(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:644:46: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 644 | D = (perm.transpose() * D.matrix()).array(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 2>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 1, -1, false> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, 1, -1, false>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:214:47: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:127:24: required from ‘typename MatrixType::value_type newton::diagonal_min(const MatrixType&) [with MatrixType = jacobian_sparse_plus_lowrank_t > >::sparse_plus_lowrank; typename MatrixType::value_type = double]’ 127 | return M.diagonal_min(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1061:30: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1061 | Scalar m = diagonal_min(H); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalMatrix, 1>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalMatrix, 1>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, 1, false>; Derived = Eigen::Block, 1, 1, false>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:644:46: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 644 | D = (perm.transpose() * D.matrix()).array(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block >, 1, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block >, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block >, 1, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block >, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block >, 1, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:644:46: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 644 | D = (perm.transpose() * D.matrix()).array(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse > >; Derived = Eigen::Map >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:497:1: required from ‘CppAD::vector atomic::matinv(const CppAD::vector&) [with dummy = void]’ 510 | Y = X.inverse(); // Use Eigen matrix inverse (LU) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘void atomic::logdetOp::reverse(TMBad::ReverseArgs) [with Type = double; dummy = void]’ 544 | matrix M = vec2mat(matinv(tx), n, n).transpose(); | ~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::logdetOp<>]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block >, 1, -1, false>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block >, 1, -1, false>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block >, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse > >; Derived = Eigen::Map >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:497:1: required from ‘CppAD::vector atomic::matinv(const CppAD::vector&) [with dummy = void]’ 510 | Y = X.inverse(); // Use Eigen matrix inverse (LU) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘void atomic::logdetOp::reverse(TMBad::ReverseArgs) [with Type = double; dummy = void]’ 544 | matrix M = vec2mat(matinv(tx), n, n).transpose(); | ~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::logdetOp<>]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:78:1: required from ‘void atomic::logspace_subOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 2; int ninput = 2; int noutput = 4; long int mask = 9]’ 214 | Eigen::Matrix ty; \ | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::logspace_subOp<2, 2, 4, 9>]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:78:1: required from ‘void atomic::logspace_subOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 2; int ninput = 2; int noutput = 4; long int mask = 9]’ 216 | Eigen::Matrix tyw = ty * w; \ | ~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::logspace_subOp<2, 2, 4, 9>]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:263:57: required from ‘newton::vector newton::jacobian_dense_t::crossprod(const newton::vector&, const newton::vector&) [with T = double; Factorization = Eigen::LLT, 1>]’ 263 | matrix ans = ( y2.matrix() * y.matrix().transpose() ).array(); | ~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:204:45: required from ‘void newton::HessianSolveVector::reverse(TMBad::ReverseArgs&) [with T = double; Hessian_Type = newton::jacobian_dense_t<>]’ 204 | vector y2y_j = hessian -> crossprod(y2_j, y_j); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::HessianSolveVector >]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose > >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose > >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:263:35: required from ‘newton::vector newton::jacobian_dense_t::crossprod(const newton::vector&, const newton::vector&) [with T = double; Factorization = Eigen::LLT, 1>]’ 263 | matrix ans = ( y2.matrix() * y.matrix().transpose() ).array(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:204:45: required from ‘void newton::HessianSolveVector::reverse(TMBad::ReverseArgs&) [with T = double; Hessian_Type = newton::jacobian_dense_t<>]’ 204 | vector y2y_j = hessian -> crossprod(y2_j, y_j); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::HessianSolveVector >]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose > >, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose > >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, Eigen::Transpose > >, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, Eigen::Transpose > >, 0> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:263:67: required from ‘newton::vector newton::jacobian_dense_t::crossprod(const newton::vector&, const newton::vector&) [with T = double; Factorization = Eigen::LLT, 1>]’ 263 | matrix ans = ( y2.matrix() * y.matrix().transpose() ).array(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:204:45: required from ‘void newton::HessianSolveVector::reverse(TMBad::ReverseArgs&) [with T = double; Hessian_Type = newton::jacobian_dense_t<>]’ 204 | vector y2y_j = hessian -> crossprod(y2_j, y_j); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::HessianSolveVector >]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:78:1: required from ‘void atomic::logspace_subOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 2; int ninput = 2; int noutput = 4; long int mask = 9]’ 216 | Eigen::Matrix tyw = ty * w; \ | ~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::logspace_subOp<2, 2, 4, 9>]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Matrix; Lhs = Eigen::MatrixWrapper >; Rhs = Eigen::Transpose > >; Func = generic_product_impl >, Eigen::Transpose > >, Eigen::DenseShape, Eigen::DenseShape, 5>::set]’ 280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:317:41: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:94:54: required from ‘newton::matrix::matrix(const Eigen::ArrayBase&) [with Derived = Eigen::ArrayWrapper >, Eigen::Transpose > >, 0> >; Type = double]’ 94 | matrix(const Eigen::ArrayBase &x) : Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:263:67: required from ‘newton::vector newton::jacobian_dense_t::crossprod(const newton::vector&, const newton::vector&) [with T = double; Factorization = Eigen::LLT, 1>]’ 263 | matrix ans = ( y2.matrix() * y.matrix().transpose() ).array(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:204:45: required from ‘void newton::HessianSolveVector::reverse(TMBad::ReverseArgs&) [with T = double; Hessian_Type = newton::jacobian_dense_t<>]’ 204 | vector y2y_j = hessian -> crossprod(y2_j, y_j); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::HessianSolveVector >]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:74:1: required from ‘void atomic::logspace_addOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 3; int ninput = 2; int noutput = 8; long int mask = 9]’ 214 | Eigen::Matrix ty; \ | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::logspace_addOp<3, 2, 8, 9>]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:74:1: required from ‘void atomic::logspace_addOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 3; int ninput = 2; int noutput = 8; long int mask = 9]’ 216 | Eigen::Matrix tyw = ty * w; \ | ~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::logspace_addOp<3, 2, 8, 9>]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:74:1: required from ‘void atomic::logspace_addOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 3; int ninput = 2; int noutput = 8; long int mask = 9]’ 216 | Eigen::Matrix tyw = ty * w; \ | ~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::logspace_addOp<3, 2, 8, 9>]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMB.hpp:137: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp: In function ‘TMBad::ad_adapt TMBad::F(const ad_adapt&, const ad_adapt&)’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:3110:10: warning: infinite recursion detected [-Winfinite-recursion] 3110 | ad_adapt F(const ad_adapt &x1, const ad_adapt &x2) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:3111:20: note: recursive call 3111 | return ad_adapt(F(ad_aug(x1), ad_aug(x2))); | ~^~~~~~~~~~~~~~~~~~~~~~~~ sdmTMB.cpp: In member function ‘Type objective_function::operator()() [with Type = double]’: sdmTMB.cpp:1136:27: warning: ‘tmp_ll’ may be used uninitialized [-Wmaybe-uninitialized] 1136 | if (notNA) tmp_ll *= weights_i(i); | ~~~~~~~^~~~~~~~~~~~~~~ sdmTMB.cpp:892:31: note: ‘tmp_ll’ was declared here 892 | Type s1, s2, s3, lognzprob, tmp_ll, ll_1, ll_2, p_extreme, mix_ratio, tweedie_p, s2_large; | ^~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMB.hpp:228: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:345:39: warning: ‘tweedie_p’ may be used uninitialized [-Wmaybe-uninitialized] 345 | TMB_OBJECTIVE_PTR -> reportvector.push(name, #name); | ^ sdmTMB.cpp:1653:36: note: in expansion of macro ‘ADREPORT’ 1653 | if (family(0) == tweedie_family) ADREPORT(tweedie_p); // #302 | ^~~~~~~~ sdmTMB.cpp:892:73: note: ‘tweedie_p’ was declared here 892 | Type s1, s2, s3, lognzprob, tmp_ll, ll_1, ll_2, p_extreme, mix_ratio, tweedie_p, s2_large; | ^~~~~~~~~ g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o sdmTMB.so sdmTMB.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp58uo2I/R.INSTALL342d1f51bf67e1/sdmTMB/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-sdmTMB/00new/sdmTMB/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (sdmTMB) * installing *source* package ‘simts’ ... ** this is package ‘simts’ version ‘0.2.3’ ** package ‘simts’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-15 (Debian 15.2.0-12) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpHc3Wjs/R.INSTALL34277d59d92e5d/simts/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c additional_moments.cpp -o additional_moments.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c analytical_matrix_derivatives.cpp -o analytical_matrix_derivatives.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c arima_gmwm.cpp -o arima_gmwm.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c armadillo_manipulations.cpp -o armadillo_manipulations.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c automatic_models.cpp -o automatic_models.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c bootstrappers.cpp -o bootstrappers.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c complex_tools.cpp -o complex_tools.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c covariance_matrix.cpp -o covariance_matrix.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c dwt.cpp -o dwt.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gen_process.cpp -o gen_process.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gmwm_logic.cpp -o gmwm_logic.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c guess_values.cpp -o guess_values.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c idf_example.cpp -o idf_example.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c inference.cpp -o inference.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c lm.cpp -o lm.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c model_selection.cpp -o model_selection.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c obj_mod.cpp -o obj_mod.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c objective_functions.cpp -o objective_functions.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c polyroot.cpp -o polyroot.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c process_to_wv.cpp -o process_to_wv.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c read_imu.cpp -o read_imu.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c robust_components.cpp -o robust_components.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rtoarmadillo.cpp -o rtoarmadillo.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rtruncated_normal.cpp -o rtruncated_normal.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c sampler.cpp -o sampler.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c sarma.cpp -o sarma.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c summary_inf_mod.cpp -o summary_inf_mod.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c transform_data.cpp -o transform_data.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c ts_checks.cpp -o ts_checks.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c ts_model_cpp.cpp -o ts_model_cpp.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c wave_variance.cpp -o wave_variance.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c wv_filters.cpp -o wv_filters.o g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o simts.so RcppExports.o additional_moments.o analytical_matrix_derivatives.o arima_gmwm.o armadillo_manipulations.o automatic_models.o bootstrappers.o complex_tools.o covariance_matrix.o dwt.o gen_process.o gmwm_logic.o guess_values.o idf_example.o inference.o lm.o model_selection.o obj_mod.o objective_functions.o polyroot.o process_to_wv.o read_imu.o robust_components.o rtoarmadillo.o rtruncated_normal.o sampler.o sarma.o summary_inf_mod.o transform_data.o ts_checks.o ts_model_cpp.o wave_variance.o wv_filters.o -llapack -L/home/hornik/tmp/R/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpHc3Wjs/R.INSTALL34277d59d92e5d/simts/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-simts/00new/simts/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (simts) begin installing package ‘wv’ * installing *source* package ‘msa’ ... ** this is package ‘msa’ version ‘1.42.0’ ** package ‘msa’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-15 (Debian 15.2.0-12) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmpa55zeB/R.INSTALL34028169d22899/msa/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I"./gc-8.2.8/include" -I"./Muscle/" -I"./ClustalW/src" -I"./ClustalOmega/src" -fpic -g -O2 -Wall -pedantic -mtune=native -c R_init_msa.cpp -o R_init_msa.o In file included from ./Muscle/RMuscle.h:4, from R_init_msa.cpp:3: ./Muscle/muscle.h:54:9: warning: ‘assert’ redefined 54 | #define assert(exp) ((void)0) | ^~~~~~ In file included from /usr/include/c++/15/cassert:46, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/utils/tinyformat/tinyformat.h:137, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/utils/tinyformat.h:33, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/RcppCommon.h:75, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp.h:27, from ./ClustalOmega/src/RClustalOmega.h:4, from R_init_msa.cpp:1: /usr/include/assert.h:50:10: note: this is the location of the previous definition 50 | # define assert(expr) (__ASSERT_VOID_CAST (0)) | ^~~~~~ In file included from ./Muscle/muscle.h:38: ./Muscle/intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I"./gc-8.2.8/include" -I"./Muscle/" -I"./ClustalW/src" -I"./ClustalOmega/src" -fpic -g -O2 -Wall -pedantic -mtune=native -c SplitCharVector2List.cpp -o SplitCharVector2List.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I"./gc-8.2.8/include" -I"./Muscle/" -I"./ClustalW/src" -I"./ClustalOmega/src" -fpic -g -O2 -Wall -pedantic -mtune=native -c SplitCharVector2Matrix.cpp -o SplitCharVector2Matrix.o make --file=msaMakefile --directory=gc-8.2.8 make[2]: Entering directory '/home/hornik/tmp/scratch/Rtmpa55zeB/R.INSTALL34028169d22899/msa/src/gc-8.2.8' export CFLAGS="-std=gnu11"; \ export CXXFLAGS="-std=gnu++11"; \ ./configure --enable-cplusplus --enable-threads=pthreads --enable-shared=no --with-pic; \ make checking build system type... x86_64-pc-linux-gnu checking host system type... x86_64-pc-linux-gnu checking target system type... x86_64-pc-linux-gnu checking GC version numbers... major=8 minor=2 micro=8 checking for a BSD-compatible install... /usr/bin/install -c checking whether build environment is sane... yes checking for a race-free mkdir -p... /usr/bin/mkdir -p checking for gawk... gawk checking whether make sets $(MAKE)... yes checking whether make supports nested variables... yes checking whether to enable maintainer-specific portions of Makefiles... no checking whether make supports the include directive... yes (GNU style) checking for gcc... gcc checking whether the C compiler works... yes checking for C compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether the compiler supports GNU C... yes checking whether gcc accepts -g... yes checking for gcc option to enable C11 features... none needed checking whether gcc understands -c and -o together... yes checking dependency style of gcc... gcc3 checking for g++... g++ checking whether the compiler supports GNU C++... yes checking whether g++ accepts -g... yes checking for g++ option to enable C++11 features... none needed checking dependency style of g++... gcc3 checking dependency style of gcc... gcc3 checking how to print strings... printf checking for a sed that does not truncate output... /usr/bin/sed checking for grep that handles long lines and -e... /usr/bin/grep checking for egrep... /usr/bin/grep -E checking for fgrep... /usr/bin/grep -F checking for ld used by gcc... /usr/bin/x86_64-linux-gnu-ld checking if the linker (/usr/bin/x86_64-linux-gnu-ld) is GNU ld... yes checking for BSD- or MS-compatible name lister (nm)... /usr/bin/nm -B checking the name lister (/usr/bin/nm -B) interface... BSD nm checking whether ln -s works... yes checking the maximum length of command line arguments... 3145728 checking how to convert x86_64-pc-linux-gnu file names to x86_64-pc-linux-gnu format... func_convert_file_noop checking how to convert x86_64-pc-linux-gnu file names to toolchain format... func_convert_file_noop checking for /usr/bin/x86_64-linux-gnu-ld option to reload object files... -r checking for file... file checking for objdump... objdump checking how to recognize dependent libraries... pass_all checking for dlltool... no checking how to associate runtime and link libraries... printf %s\n checking for ar... ar checking for archiver @FILE support... @ checking for strip... strip checking for ranlib... ranlib checking command to parse /usr/bin/nm -B output from gcc object... ok checking for sysroot... no checking for a working dd... /usr/bin/dd checking how to truncate binary pipes... /usr/bin/dd bs=4096 count=1 checking for mt... mt checking if mt is a manifest tool... no checking for stdio.h... yes checking for stdlib.h... yes checking for string.h... yes checking for inttypes.h... yes checking for stdint.h... yes checking for strings.h... yes checking for sys/stat.h... yes checking for sys/types.h... yes checking for unistd.h... yes checking for dlfcn.h... yes checking for objdir... .libs checking if gcc supports -fno-rtti -fno-exceptions... no checking for gcc option to produce PIC... -fPIC -DPIC checking if gcc PIC flag -fPIC -DPIC works... yes checking if gcc static flag -static works... yes checking if gcc supports -c -o file.o... yes checking if gcc supports -c -o file.o... (cached) yes checking whether the gcc linker (/usr/bin/x86_64-linux-gnu-ld -m elf_x86_64) supports shared libraries... yes checking dynamic linker characteristics... GNU/Linux ld.so checking how to hardcode library paths into programs... immediate checking whether stripping libraries is possible... yes checking if libtool supports shared libraries... yes checking whether to build shared libraries... no checking whether to build static libraries... yes checking how to run the C++ preprocessor... g++ -E checking for ld used by g++... /usr/bin/x86_64-linux-gnu-ld -m elf_x86_64 checking if the linker (/usr/bin/x86_64-linux-gnu-ld -m elf_x86_64) is GNU ld... yes checking whether the g++ linker (/usr/bin/x86_64-linux-gnu-ld -m elf_x86_64) supports shared libraries... yes checking for g++ option to produce PIC... -fPIC -DPIC checking if g++ PIC flag -fPIC -DPIC works... yes checking if g++ static flag -static works... yes checking if g++ supports -c -o file.o... yes checking if g++ supports -c -o file.o... (cached) yes checking whether the g++ linker (/usr/bin/x86_64-linux-gnu-ld -m elf_x86_64) supports shared libraries... yes checking dynamic linker characteristics... (cached) GNU/Linux ld.so checking how to hardcode library paths into programs... immediate checking for emscripten... no checking for inline... inline configure: WARNING: "Explicit GC_INIT() calls may be required." checking for pthread_self in -lpthread... yes checking for clock_gettime without additional libraries... yes checking whether compiler supports -Wextra... yes checking whether compiler supports -Wpedantic... yes checking for xlc... no checking whether compiler supports -fno-strict-aliasing... yes checking for getcontext... yes checking for dl_iterate_phdr... yes checking for dlopen in -ldl... yes checking for execinfo.h... yes checking whether to build shared libraries... no checking which machine-dependent code should be used... checking whether AIX gcc optimization fix is necessary... no checking whether -Wno-frame-address works... yes checking for dladdr... yes checking for sigsetjmp... yes checking for pthread_setname_np... yes (with tid) checking for sys/dg_sys_info.h... no checking for compiler intrinsics support... yes checking which libatomic_ops to use... none checking that generated files are newer than configure... done configure: creating ./config.status config.status: creating Makefile config.status: creating bdw-gc.pc config.status: creating include/config.h config.status: include/config.h is unchanged config.status: executing depfiles commands config.status: executing libtool commands config.status: executing default commands make[3]: Entering directory '/home/hornik/tmp/scratch/Rtmpa55zeB/R.INSTALL34028169d22899/msa/src/gc-8.2.8' make[4]: Entering directory '/home/hornik/tmp/scratch/Rtmpa55zeB/R.INSTALL34028169d22899/msa/src/gc-8.2.8' depbase=`echo allchblk.lo | sed 's|[^/]*$|.deps/&|;s|\.lo$||'`;\ /bin/bash ./libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I./include -I./include -fexceptions -Wall -Wextra -Wpedantic -Wno-long-long -std=gnu11 -fno-strict-aliasing -Wno-frame-address -MT allchblk.lo -MD -MP -MF $depbase.Tpo -c -o allchblk.lo allchblk.c &&\ mv -f $depbase.Tpo $depbase.Plo libtool: compile: gcc -DHAVE_CONFIG_H -I./include -I./include -fexceptions -Wall -Wextra -Wpedantic -Wno-long-long -std=gnu11 -fno-strict-aliasing -Wno-frame-address -MT allchblk.lo -MD -MP -MF .deps/allchblk.Tpo -c allchblk.c -fPIC -DPIC -o allchblk.o depbase=`echo alloc.lo | sed 's|[^/]*$|.deps/&|;s|\.lo$||'`;\ /bin/bash ./libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I./include -I./include -fexceptions -Wall -Wextra -Wpedantic -Wno-long-long -std=gnu11 -fno-strict-aliasing -Wno-frame-address -MT alloc.lo -MD -MP -MF $depbase.Tpo -c -o alloc.lo alloc.c &&\ mv -f $depbase.Tpo $depbase.Plo libtool: compile: gcc -DHAVE_CONFIG_H -I./include -I./include -fexceptions -Wall -Wextra -Wpedantic -Wno-long-long -std=gnu11 -fno-strict-aliasing -Wno-frame-address -MT alloc.lo -MD -MP -MF .deps/alloc.Tpo -c alloc.c -fPIC -DPIC -o alloc.o depbase=`echo blacklst.lo | sed 's|[^/]*$|.deps/&|;s|\.lo$||'`;\ /bin/bash 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pthread_stop_world.lo thread_local_alloc.lo gcj_mlc.lo fnlz_mlc.lo -lpthread -ldl libtool: link: ar cr .libs/libgc.a allchblk.o alloc.o blacklst.o dbg_mlc.o dyn_load.o finalize.o gc_dlopen.o headers.o mach_dep.o malloc.o mallocx.o mark.o mark_rts.o misc.o new_hblk.o obj_map.o os_dep.o ptr_chck.o reclaim.o specific.o typd_mlc.o pthread_start.o pthread_support.o pthread_stop_world.o thread_local_alloc.o gcj_mlc.o fnlz_mlc.o libtool: link: ranlib .libs/libgc.a libtool: link: ( cd ".libs" && rm -f "libgc.la" && ln -s "../libgc.la" "libgc.la" ) depbase=`echo gc_badalc.lo | sed 's|[^/]*$|.deps/&|;s|\.lo$||'`;\ /bin/bash ./libtool --tag=CXX --mode=compile g++ -DHAVE_CONFIG_H -I./include -I./include -fexceptions -Wall -Wextra -Wpedantic -Wno-long-long -std=gnu++11 -MT gc_badalc.lo -MD -MP -MF $depbase.Tpo -c -o gc_badalc.lo gc_badalc.cc &&\ mv -f $depbase.Tpo $depbase.Plo libtool: compile: g++ -DHAVE_CONFIG_H -I./include -I./include -fexceptions -Wall -Wextra -Wpedantic -Wno-long-long -std=gnu++11 -MT gc_badalc.lo -MD -MP -MF .deps/gc_badalc.Tpo -c gc_badalc.cc -fPIC -DPIC -o gc_badalc.o depbase=`echo gc_cpp.lo | sed 's|[^/]*$|.deps/&|;s|\.lo$||'`;\ /bin/bash ./libtool --tag=CXX --mode=compile g++ -DHAVE_CONFIG_H -I./include -I./include -fexceptions -Wall -Wextra -Wpedantic -Wno-long-long -std=gnu++11 -MT gc_cpp.lo -MD -MP -MF $depbase.Tpo -c -o gc_cpp.lo gc_cpp.cc &&\ mv -f $depbase.Tpo $depbase.Plo libtool: compile: g++ -DHAVE_CONFIG_H -I./include -I./include -fexceptions -Wall -Wextra -Wpedantic -Wno-long-long -std=gnu++11 -MT gc_cpp.lo -MD -MP -MF .deps/gc_cpp.Tpo -c gc_cpp.cc -fPIC -DPIC -o gc_cpp.o /bin/bash ./libtool --tag=CXX --mode=link g++ -fexceptions -Wall -Wextra -Wpedantic -Wno-long-long -std=gnu++11 -version-info 6:0:5 -no-undefined -o libgccpp.la -rpath /usr/local/lib gc_badalc.lo gc_cpp.lo libgc.la libtool: link: ar cr .libs/libgccpp.a gc_badalc.o gc_cpp.o libtool: link: ranlib .libs/libgccpp.a libtool: link: ( cd ".libs" && rm -f "libgccpp.la" && ln -s "../libgccpp.la" "libgccpp.la" ) /bin/bash ./libtool --tag=CXX --mode=link g++ -fexceptions -Wall -Wextra -Wpedantic -Wno-long-long -std=gnu++11 -version-info 6:0:5 -no-undefined -o libgctba.la -rpath /usr/local/lib gc_badalc.lo libgc.la libtool: link: ar cr .libs/libgctba.a gc_badalc.o libtool: link: ranlib .libs/libgctba.a libtool: link: ( cd ".libs" && rm -f "libgctba.la" && ln -s "../libgctba.la" "libgctba.la" ) /bin/bash ./libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I./include -I./include -fexceptions -Wall -Wextra -Wpedantic -Wno-long-long -std=gnu11 -fno-strict-aliasing -Wno-frame-address -MT cord/libcord_la-cordbscs.lo -MD -MP -MF cord/.deps/libcord_la-cordbscs.Tpo -c -o cord/libcord_la-cordbscs.lo `test -f 'cord/cordbscs.c' || echo './'`cord/cordbscs.c libtool: compile: gcc -DHAVE_CONFIG_H -I./include -I./include -fexceptions -Wall -Wextra -Wpedantic -Wno-long-long -std=gnu11 -fno-strict-aliasing -Wno-frame-address -MT cord/libcord_la-cordbscs.lo -MD -MP -MF cord/.deps/libcord_la-cordbscs.Tpo -c cord/cordbscs.c -fPIC -DPIC -o cord/libcord_la-cordbscs.o mv -f cord/.deps/libcord_la-cordbscs.Tpo cord/.deps/libcord_la-cordbscs.Plo /bin/bash ./libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I./include -I./include -fexceptions -Wall -Wextra -Wpedantic -Wno-long-long -std=gnu11 -fno-strict-aliasing -Wno-frame-address -MT cord/libcord_la-cordprnt.lo -MD -MP -MF cord/.deps/libcord_la-cordprnt.Tpo -c -o cord/libcord_la-cordprnt.lo `test -f 'cord/cordprnt.c' || echo './'`cord/cordprnt.c libtool: compile: gcc -DHAVE_CONFIG_H -I./include -I./include -fexceptions -Wall -Wextra -Wpedantic -Wno-long-long -std=gnu11 -fno-strict-aliasing -Wno-frame-address -MT cord/libcord_la-cordprnt.lo -MD -MP -MF cord/.deps/libcord_la-cordprnt.Tpo -c cord/cordprnt.c -fPIC -DPIC -o cord/libcord_la-cordprnt.o mv -f cord/.deps/libcord_la-cordprnt.Tpo cord/.deps/libcord_la-cordprnt.Plo /bin/bash ./libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I./include -I./include -fexceptions -Wall -Wextra -Wpedantic -Wno-long-long -std=gnu11 -fno-strict-aliasing -Wno-frame-address -MT cord/libcord_la-cordxtra.lo -MD -MP -MF cord/.deps/libcord_la-cordxtra.Tpo -c -o cord/libcord_la-cordxtra.lo `test -f 'cord/cordxtra.c' || echo './'`cord/cordxtra.c libtool: compile: gcc -DHAVE_CONFIG_H -I./include -I./include -fexceptions -Wall -Wextra -Wpedantic -Wno-long-long -std=gnu11 -fno-strict-aliasing -Wno-frame-address -MT cord/libcord_la-cordxtra.lo -MD -MP -MF cord/.deps/libcord_la-cordxtra.Tpo -c cord/cordxtra.c -fPIC -DPIC -o cord/libcord_la-cordxtra.o mv -f cord/.deps/libcord_la-cordxtra.Tpo cord/.deps/libcord_la-cordxtra.Plo /bin/bash ./libtool --tag=CC --mode=link gcc -fexceptions -Wall -Wextra -Wpedantic -Wno-long-long -std=gnu11 -fno-strict-aliasing -Wno-frame-address -version-info 6:1:5 -no-undefined -o libcord.la -rpath /usr/local/lib cord/libcord_la-cordbscs.lo cord/libcord_la-cordprnt.lo cord/libcord_la-cordxtra.lo libgc.la libtool: link: ar cr .libs/libcord.a cord/libcord_la-cordbscs.o cord/libcord_la-cordprnt.o cord/libcord_la-cordxtra.o libtool: link: ranlib .libs/libcord.a libtool: link: ( cd ".libs" && rm -f "libcord.la" && ln -s "../libcord.la" "libcord.la" ) make[4]: Leaving directory '/home/hornik/tmp/scratch/Rtmpa55zeB/R.INSTALL34028169d22899/msa/src/gc-8.2.8' make[3]: Leaving directory '/home/hornik/tmp/scratch/Rtmpa55zeB/R.INSTALL34028169d22899/msa/src/gc-8.2.8' cp .libs/libgc.a ../ cp .libs/libgccpp.a ../ make[2]: Leaving directory '/home/hornik/tmp/scratch/Rtmpa55zeB/R.INSTALL34028169d22899/msa/src/gc-8.2.8' ---------------------------------------- ------------------ GC ----------------- ---------------------------------------- --------- Compilation finished --------- ---------------------------------------- make --file=msaMakefile --directory=Muscle make[2]: Entering directory '/home/hornik/tmp/scratch/Rtmpa55zeB/R.INSTALL34028169d22899/msa/src/Muscle' export PKG_CXXFLAGS=" -I../gc-8.2.8/include" /home/hornik/tmp/R/bin/R CMD SHLIB -o libMuscle.so aligngivenpath.cpp aligngivenpathsw.cpp aligntwomsas.cpp aligntwoprofs.cpp aln.cpp alpha.cpp anchors.cpp bittraceback.cpp blosum62.cpp blosumla.cpp clust.cpp cluster.cpp clwwt.cpp color.cpp cons.cpp diaglist.cpp diffobjscore.cpp diffpaths.cpp difftrees.cpp difftreese.cpp distcalc.cpp distfunc.cpp distpwkimura.cpp domuscle.cpp dosp.cpp dpreglist.cpp drawtree.cpp edgelist.cpp enumopts.cpp enumtostr.cpp estring.cpp fasta.cpp fasta2.cpp fastclust.cpp fastdist.cpp fastdistjones.cpp fastdistkbit.cpp fastdistkmer.cpp fastdistmafft.cpp fastdistnuc.cpp fastscorepath2.cpp finddiags.cpp finddiagsn.cpp glbalign.cpp glbalign352.cpp glbaligndiag.cpp glbalignle.cpp glbalignsimple.cpp glbalignsp.cpp glbalignspn.cpp glbalignss.cpp glbalndimer.cpp globals.cpp globalslinux.cpp globalsosx.cpp globalsother.cpp globalswin32.cpp gonnet.cpp henikoffweight.cpp henikoffweightpb.cpp html.cpp hydro.cpp intmath.cpp local.cpp main.cpp makerootmsa.cpp makerootmsab.cpp maketree.cpp mhack.cpp mpam200.cpp msa.cpp msa2.cpp msadistkimura.cpp msf.cpp muscle.cpp muscleout.cpp nucmx.cpp nwdasimple.cpp nwdasimple2.cpp nwdasmall.cpp nwrec.cpp nwsmall.cpp objscore.cpp objscore2.cpp objscoreda.cpp onexception.cpp options.cpp outweights.cpp pam200mafft.cpp params.cpp phy.cpp phy2.cpp phy3.cpp phy4.cpp phyfromclust.cpp phyfromfile.cpp physeq.cpp phytofile.cpp posgap.cpp ppscore.cpp profdb.cpp profile.cpp profilefrommsa.cpp progalign.cpp progress.cpp progressivealign.cpp pwpath.cpp readmx.cpp realigndiffs.cpp realigndiffse.cpp refine.cpp refinehoriz.cpp refinesubfams.cpp refinetree.cpp refinetreee.cpp refinevert.cpp refinew.cpp savebest.cpp scoredist.cpp scoregaps.cpp scorehistory.cpp scorepp.cpp seq.cpp seqvect.cpp setblosumweights.cpp setgscweights.cpp setnewhandler.cpp spfast.cpp sptest.cpp stabilize.cpp subfam.cpp subfams.cpp sw.cpp termgaps.cpp textfile.cpp threewaywt.cpp tomhydro.cpp traceback.cpp tracebackopt.cpp tracebacksw.cpp treefrommsa.cpp typetostr.cpp upgma2.cpp usage.cpp validateids.cpp vtml2.cpp writescorefile.cpp RMuscle.cpp using C++ compiler: ‘g++-15 (Debian 15.2.0-12) 15.2.0’ make[3]: Entering directory '/home/hornik/tmp/scratch/Rtmpa55zeB/R.INSTALL34028169d22899/msa/src/Muscle' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c aligngivenpath.cpp -o aligngivenpath.o aligngivenpath.cpp: In function ‘void AppendTplInserts(const MSA&, unsigned int&, unsigned int, const MSA&, unsigned int&, unsigned int, unsigned int, unsigned int, MSA&, unsigned int&)’: aligngivenpath.cpp:186:24: warning: unused variable ‘uLengthA’ [-Wunused-variable] 186 | const unsigned uLengthA = msaA.GetColCount(); | ^~~~~~~~ aligngivenpath.cpp:187:24: warning: unused variable ‘uLengthB’ [-Wunused-variable] 187 | const unsigned uLengthB = msaB.GetColCount(); | ^~~~~~~~ aligngivenpath.cpp: In function ‘void AlignTwoMSAsGivenPath(const PWPath&, const MSA&, const MSA&, MSA&)’: aligngivenpath.cpp:335:40: warning: unused variable ‘uColA’ [-Wunused-variable] 335 | const unsigned uColA = uPrefixLengthA - 1; | ^~~~~ aligngivenpath.cpp:336:40: warning: unused variable ‘uColB’ [-Wunused-variable] 336 | const unsigned uColB = uPrefixLengthB - 1; | ^~~~~ aligngivenpath.cpp:346:40: warning: unused variable ‘uColA’ [-Wunused-variable] 346 | const unsigned uColA = uPrefixLengthA - 1; | ^~~~~ aligngivenpath.cpp:354:40: warning: unused variable ‘uColB’ [-Wunused-variable] 354 | const unsigned uColB = uPrefixLengthB - 1; | ^~~~~ In file included from muscle.h:38, from aligngivenpath.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c aligngivenpathsw.cpp -o aligngivenpathsw.o aligngivenpathsw.cpp: In function ‘void AppendUnalignedTerminals(const MSA&, unsigned int&, unsigned int, const MSA&, unsigned int&, unsigned int, unsigned int, unsigned int, MSA&, unsigned int&)’: aligngivenpathsw.cpp:58:24: warning: unused variable ‘uLengthA’ [-Wunused-variable] 58 | const unsigned uLengthA = msaA.GetColCount(); | ^~~~~~~~ aligngivenpathsw.cpp:59:24: warning: unused variable ‘uLengthB’ [-Wunused-variable] 59 | const unsigned uLengthB = msaB.GetColCount(); | ^~~~~~~~ aligngivenpathsw.cpp: In function ‘void AlignTwoMSAsGivenPathSW(const PWPath&, const MSA&, const MSA&, MSA&)’: aligngivenpathsw.cpp:204:40: warning: unused variable ‘uColA’ [-Wunused-variable] 204 | const unsigned uColA = uPrefixLengthA - 1; | ^~~~~ aligngivenpathsw.cpp:205:40: warning: unused variable ‘uColB’ [-Wunused-variable] 205 | const unsigned uColB = uPrefixLengthB - 1; | ^~~~~ aligngivenpathsw.cpp:215:40: warning: unused variable ‘uColA’ [-Wunused-variable] 215 | const unsigned uColA = uPrefixLengthA - 1; | ^~~~~ aligngivenpathsw.cpp:223:40: warning: unused variable ‘uColB’ [-Wunused-variable] 223 | const unsigned uColB = uPrefixLengthB - 1; | ^~~~~ In file included from muscle.h:38, from aligngivenpathsw.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c aligntwomsas.cpp -o aligntwomsas.o In file included from muscle.h:38, from aligntwomsas.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c aligntwoprofs.cpp -o aligntwoprofs.o In file included from muscle.h:38, from aligntwoprofs.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c aln.cpp -o aln.o In file included from muscle.h:38, from aln.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c alpha.cpp -o alpha.o alpha.cpp: In function ‘unsigned int GetAlphaSize(ALPHA)’: alpha.cpp:84:16: warning: enumeration value ‘ALPHA_Undefined’ not handled in switch [-Wswitch] 84 | switch (Alpha) | ^ In file included from muscle.h:38, from alpha.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c anchors.cpp -o anchors.o anchors.cpp: In function ‘void MergeBestCols(const SCORE*, const unsigned int*, unsigned int, unsigned int, unsigned int*, unsigned int*)’: anchors.cpp:162:34: warning: unused variable ‘uWindowCenter’ [-Wunused-variable] 162 | unsigned uWindowCenter = uBestColIndex + uWindowLength/2; | ^~~~~~~~~~~~~ anchors.cpp: At global scope: anchors.cpp:105:13: warning: ‘void ListBestCols(const MSA&, const SCORE*, const SCORE*, unsigned int*, unsigned int)’ defined but not used [-Wunused-function] 105 | static void ListBestCols(const MSA &msa, const SCORE Score[], const SCORE SmoothScore[], | ^~~~~~~~~~~~ anchors.cpp:53:13: warning: ‘void FindBestColsGrade(const SCORE*, unsigned int, double, unsigned int*, unsigned int*)’ defined but not used [-Wunused-function] 53 | static void FindBestColsGrade(const SCORE Score[], unsigned uCount, | ^~~~~~~~~~~~~~~~~ In file included from muscle.h:38, from anchors.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c bittraceback.cpp -o bittraceback.o bittraceback.cpp: In function ‘void BitTraceBack(char**, unsigned int, unsigned int, char, PWPath&)’: bittraceback.cpp:146:14: warning: unused variable ‘Bits’ [-Wunused-variable] 146 | char Bits = TraceBack[uLengthA][uLengthB]; | ^~~~ bittraceback.cpp: At global scope: bittraceback.cpp:15:20: warning: ‘const char* BitsToStr(char)’ defined but not used [-Wunused-function] 15 | static const char *BitsToStr(char Bits) | ^~~~~~~~~ In file included from muscle.h:38, from bittraceback.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c blosum62.cpp -o blosum62.o In file included from muscle.h:38, from blosum62.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c blosumla.cpp -o blosumla.o blosumla.cpp:7:14: warning: ‘Blosum62LA’ defined but not used [-Wunused-variable] 7 | static float Blosum62LA[20][20] = | ^~~~~~~~~~ In file included from muscle.h:38, from blosumla.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c clust.cpp -o clust.o clust.cpp: In member function ‘void Clust::ChooseJoin(unsigned int*, unsigned int*, float*, float*)’: clust.cpp:167:16: warning: enumeration value ‘JOIN_Undefined’ not handled in switch [-Wswitch] 167 | switch (m_JoinStyle) | ^ clust.cpp: In member function ‘void Clust::ChooseJoinNearestNeighbor(unsigned int*, unsigned int*, float*, float*)’: clust.cpp:184:24: warning: unused variable ‘uClusterCount’ [-Wunused-variable] 184 | const unsigned uClusterCount = GetClusterCount(); | ^~~~~~~~~~~~~ clust.cpp: In member function ‘void Clust::ChooseJoinNeighborJoining(unsigned int*, unsigned int*, float*, float*)’: clust.cpp:204:24: warning: unused variable ‘uClusterCount’ [-Wunused-variable] 204 | const unsigned uClusterCount = GetClusterCount(); | ^~~~~~~~~~~~~ clust.cpp: In member function ‘float Clust::ComputeDist(unsigned int, unsigned int)’: clust.cpp:295:16: warning: enumeration value ‘LINKAGE_Undefined’ not handled in switch [-Wswitch] 295 | switch (m_CentroidStyle) | ^ clust.cpp: In member function ‘float Clust::ComputeDistMAFFT(unsigned int, unsigned int)’: clust.cpp:360:21: warning: unused variable ‘dDistLR’ [-Wunused-variable] 360 | const float dDistLR = GetDist(uLeftNodeIndex, uRightNodeIndex); | ^~~~~~~ clust.cpp: In member function ‘float Clust::ComputeMetric(unsigned int, unsigned int) const’: clust.cpp:611:16: warning: enumeration value ‘JOIN_Undefined’ not handled in switch [-Wswitch] 611 | switch (m_JoinStyle) | ^ In file included from muscle.h:38, from clust.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c cluster.cpp -o cluster.o cluster.cpp: In member function ‘void ClusterTree::Create(const DistFunc&)’: cluster.cpp:284:22: warning: variable ‘bFound’ set but not used [-Wunused-but-set-variable] 284 | bool bFound = false; | ^~~~~~ cluster.cpp:267:16: warning: unused variable ‘dMaxDist’ [-Wunused-variable] 267 | double dMaxDist = 0.0; | ^~~~~~~~ In file included from muscle.h:38, from cluster.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ cluster.cpp: In member function ‘void ClusterTree::Create(const DistFunc&)’: cluster.cpp:307:47: warning: ‘uIndexClosest1’ may be used uninitialized [-Wmaybe-uninitialized] 307 | ClusterNode &Child1 = m_Nodes[uIndexClosest1]; | ^~~~~~~~~~~~~~ cluster.cpp:282:26: note: ‘uIndexClosest1’ was declared here 282 | unsigned uIndexClosest1; | ^~~~~~~~~~~~~~ cluster.cpp:308:47: warning: ‘uIndexClosest2’ may be used uninitialized [-Wmaybe-uninitialized] 308 | ClusterNode &Child2 = m_Nodes[uIndexClosest2]; | ^~~~~~~~~~~~~~ cluster.cpp:283:26: note: ‘uIndexClosest2’ was declared here 283 | unsigned uIndexClosest2; | ^~~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c clwwt.cpp -o clwwt.o In file included from muscle.h:38, from clwwt.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c color.cpp -o color.o color.cpp:72:12: warning: ‘int BlosumScore(char, char)’ defined but not used [-Wunused-function] 72 | static int BlosumScore(char c1, char c2) | ^~~~~~~~~~~ In file included from muscle.h:38, from color.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c cons.cpp -o cons.o In file included from muscle.h:38, from cons.cpp:7: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c diaglist.cpp -o diaglist.o In file included from muscle.h:38, from diaglist.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ diaglist.cpp: In member function ‘void DiagList::FromPath(const PWPath&)’: diaglist.cpp:70:36: warning: ‘uStartPosA’ may be used uninitialized [-Wmaybe-uninitialized] 70 | Add(uStartPosA, uStartPosB, uLength); | ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ diaglist.cpp:51:18: note: ‘uStartPosA’ was declared here 51 | unsigned uStartPosA; | ^~~~~~~~~~ diaglist.cpp:70:36: warning: ‘uStartPosB’ may be used uninitialized [-Wmaybe-uninitialized] 70 | Add(uStartPosA, uStartPosB, uLength); | ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ diaglist.cpp:52:18: note: ‘uStartPosB’ was declared here 52 | unsigned uStartPosB; | ^~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c diffobjscore.cpp -o diffobjscore.o diffobjscore.cpp: In function ‘SCORE ScoreLetters(const MSA&, const unsigned int*, unsigned int)’: diffobjscore.cpp:76:24: warning: unused variable ‘uSeqCount’ [-Wunused-variable] 76 | const unsigned uSeqCount = msa.GetSeqCount(); | ^~~~~~~~~ diffobjscore.cpp:77:24: warning: unused variable ‘uColCount’ [-Wunused-variable] 77 | const unsigned uColCount = msa.GetColCount(); | ^~~~~~~~~ In file included from muscle.h:38, from diffobjscore.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c diffpaths.cpp -o diffpaths.o In file included from muscle.h:38, from diffpaths.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c difftrees.cpp -o difftrees.o difftrees.cpp: In function ‘void DiffTrees(const Tree&, const Tree&, Tree&, unsigned int*)’: difftrees.cpp:161:24: warning: unused variable ‘uLeafCount2’ [-Wunused-variable] 161 | const unsigned uLeafCount2 = Tree2.GetLeafCount(); | ^~~~~~~~~~~ In file included from muscle.h:38, from difftrees.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c difftreese.cpp -o difftreese.o In file included from muscle.h:38, from difftreese.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c distcalc.cpp -o distcalc.o In file included from muscle.h:38, from distcalc.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c distfunc.cpp -o distfunc.o In file included from muscle.h:38, from distfunc.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c distpwkimura.cpp -o distpwkimura.o In file included from muscle.h:38, from distpwkimura.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c domuscle.cpp -o domuscle.o domuscle.cpp: In function ‘void DoMuscle(MuscleInput*, MuscleOutput*)’: domuscle.cpp:169:17: warning: this ‘if’ clause does not guard... [-Wmisleading-indentation] 169 | if (g_bClusterOnly) | ^~ domuscle.cpp:172:25: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘if’ 172 | return; | ^~~~~~ domuscle.cpp:180:13: warning: unused variable ‘PNlength’ [-Wunused-variable] 180 | int PNlength = (msaInput->inputSeqs).Length(); | ^~~~~~~~ In file included from muscle.h:38, from RMuscle.h:4, from domuscle.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c dosp.cpp -o dosp.o In file included from muscle.h:38, from dosp.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c dpreglist.cpp -o dpreglist.o dpreglist.cpp: In function ‘void DiagListToDPRegionList(const DiagList&, DPRegionList&, unsigned int, unsigned int)’: dpreglist.cpp:82:40: warning: unused variable ‘uDiagLengthMinusCaps’ [-Wunused-variable] 82 | const unsigned uDiagLengthMinusCaps = uEndVertexA - uStartVertexA - 1; | ^~~~~~~~~~~~~~~~~~~~ In file included from muscle.h:38, from dpreglist.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c drawtree.cpp -o drawtree.o In file included from muscle.h:38, from drawtree.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c edgelist.cpp -o edgelist.o In file included from muscle.h:38, from edgelist.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c enumopts.cpp -o enumopts.o In file included from muscle.h:38, from enumopts.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c enumtostr.cpp -o enumtostr.o In file included from muscle.h:38, from enumtostr.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c estring.cpp -o estring.o estring.cpp:464:13: warning: ‘bool CanMultiplyEstrings(const short int*, const short int*)’ defined but not used [-Wunused-function] 464 | static bool CanMultiplyEstrings(const short es1[], const short es2[]) | ^~~~~~~~~~~~~~~~~~~ In file included from muscle.h:38, from estring.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ estring.cpp: In function ‘void EstringsToPath(const short int*, const short int*, PWPath&)’: estring.cpp:409:17: warning: ‘cType’ may be used uninitialized [-Wmaybe-uninitialized] 409 | switch (cType) | ^~~~~~ estring.cpp:377:22: note: ‘cType’ was declared here 377 | char cType; | ^~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c fasta.cpp -o fasta.o fasta.cpp: In member function ‘void MSA::FromFASTAFile(TextFile&)’: fasta.cpp:15:18: warning: unused variable ‘uSeqCount’ [-Wunused-variable] 15 | unsigned uSeqCount = 0; | ^~~~~~~~~ fasta.cpp:16:18: warning: unused variable ‘uColCount’ [-Wunused-variable] 16 | unsigned uColCount = uInsane; | ^~~~~~~~~ In file included from muscle.h:38, from fasta.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c fasta2.cpp -o fasta2.o In file included from muscle.h:38, from fasta2.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c fastclust.cpp -o fastclust.o In file included from muscle.h:38, from fastclust.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c fastdist.cpp -o fastdist.o In file included from muscle.h:38, from fastdist.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c fastdistjones.cpp -o fastdistjones.o In file included from muscle.h:38, from fastdistjones.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c fastdistkbit.cpp -o fastdistkbit.o In file included from muscle.h:38, from fastdistkbit.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c fastdistkmer.cpp -o fastdistkmer.o fastdistkmer.cpp: In function ‘void FastDistKmer(const SeqVect&, DistFunc&)’: fastdistkmer.cpp:235:32: warning: unused variable ‘KD’ [-Wunused-variable] 235 | double KD = KimuraDist(EstimatedPctId); | ^~ In file included from muscle.h:38, from fastdistkmer.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c fastdistmafft.cpp -o fastdistmafft.o fastdistmafft.cpp: In function ‘void DistKmer6_6(const SeqVect&, DistFunc&)’: fastdistmafft.cpp:239:29: warning: unused variable ‘pName1’ [-Wunused-variable] 239 | const char *pName1 = s1.GetName(); | ^~~~~~ fastdistmafft.cpp: At global scope: fastdistmafft.cpp:104:13: warning: ‘void ListCount(const unsigned char*)’ defined but not used [-Wunused-function] 104 | static void ListCount(const unsigned char Count[]) | ^~~~~~~~~ In file included from muscle.h:38, from fastdistmafft.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c fastdistnuc.cpp -o fastdistnuc.o fastdistnuc.cpp: In function ‘void DistKmer4_6(const SeqVect&, DistFunc&)’: fastdistnuc.cpp:223:29: warning: unused variable ‘pName1’ [-Wunused-variable] 223 | const char *pName1 = s1.GetName(); | ^~~~~~ fastdistnuc.cpp: At global scope: fastdistnuc.cpp:85:13: warning: ‘void ListCount(const unsigned char*)’ defined but not used [-Wunused-function] 85 | static void ListCount(const unsigned char Count[]) | ^~~~~~~~~ fastdistnuc.cpp:33:17: warning: ‘uResidueGroupCount’ defined but not used [-Wunused-variable] 33 | static unsigned uResidueGroupCount = sizeof(ResidueGroup)/sizeof(ResidueGroup[0]); | ^~~~~~~~~~~~~~~~~~ In file included from muscle.h:38, from fastdistnuc.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c fastscorepath2.cpp -o fastscorepath2.o In file included from muscle.h:38, from fastscorepath2.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c finddiags.cpp -o finddiags.o finddiags.cpp:11:14: warning: ‘char* TupleToStr(int)’ defined but not used [-Wunused-function] 11 | static char *TupleToStr(int t) | ^~~~~~~~~~ In file included from muscle.h:38, from finddiags.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c finddiagsn.cpp -o finddiagsn.o finddiagsn.cpp: In function ‘char* TupleToStr(int)’: finddiagsn.cpp:16:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 16 | for (int i = 0; i < K; ++i) | ~~^~~ finddiagsn.cpp: At global scope: finddiagsn.cpp:12:14: warning: ‘char* TupleToStr(int)’ defined but not used [-Wunused-function] 12 | static char *TupleToStr(int t) | ^~~~~~~~~~ In file included from muscle.h:38, from finddiagsn.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c glbalign.cpp -o glbalign.o In file included from muscle.h:38, from glbalign.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c glbalign352.cpp -o glbalign352.o In file included from muscle.h:38, from glbalign352.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c glbaligndiag.cpp -o glbaligndiag.o In file included from muscle.h:38, from glbaligndiag.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c glbalignle.cpp -o glbalignle.o In file included from muscle.h:38, from glbalignle.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ glbalignle.cpp: In function ‘SCORE GlobalAlignLE(const ProfPos*, unsigned int, const ProfPos*, unsigned int, PWPath&)’: glbalignle.cpp:431:30: warning: ‘uInsertPos’ may be used uninitialized [-Wmaybe-uninitialized] 431 | iTraceBack = (int) uInsertPos - (int) uLengthB; | ^~~~~~~~~~~~~~~~ glbalignle.cpp:404:18: note: ‘uInsertPos’ was declared here 404 | unsigned uInsertPos; | ^~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c glbalignsimple.cpp -o glbalignsimple.o glbalignsimple.cpp:52:13: warning: ‘void ListDP(const SCORE*, const ProfPos*, const ProfPos*, unsigned int, unsigned int)’ defined but not used [-Wunused-function] 52 | static void ListDP(const SCORE *DPM_, const ProfPos *PA, const ProfPos *PB, | ^~~~~~ glbalignsimple.cpp:28:13: warning: ‘void ListTB(const char*, const ProfPos*, const ProfPos*, unsigned int, unsigned int)’ defined but not used [-Wunused-function] 28 | static void ListTB(const char *TBM_, const ProfPos *PA, const ProfPos *PB, | ^~~~~~ In file included from muscle.h:38, from glbalignsimple.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c glbalignsp.cpp -o glbalignsp.o In file included from muscle.h:38, from glbalignsp.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ glbalignsp.cpp: In function ‘SCORE GlobalAlignSP(const ProfPos*, unsigned int, const ProfPos*, unsigned int, PWPath&)’: glbalignsp.cpp:305:52: warning: ‘uInsertPos’ may be used uninitialized [-Wmaybe-uninitialized] 305 | *ptrTraceBack_ij = (int) uInsertPos - (int) j; | ^~~~~~~~~~~~~~~~ glbalignsp.cpp:272:26: note: ‘uInsertPos’ was declared here 272 | unsigned uInsertPos; | ^~~~~~~~~~ glbalignsp.cpp:366:30: warning: ‘uInsertPos’ may be used uninitialized [-Wmaybe-uninitialized] 366 | iTraceBack = (int) uInsertPos - (int) uLengthB; | ^~~~~~~~~~~~~~~~ glbalignsp.cpp:339:18: note: ‘uInsertPos’ was declared here 339 | unsigned uInsertPos; | ^~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c glbalignspn.cpp -o glbalignspn.o In file included from muscle.h:38, from glbalignspn.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ glbalignspn.cpp: In function ‘SCORE GlobalAlignSPN(const ProfPos*, unsigned int, const ProfPos*, unsigned int, PWPath&)’: glbalignspn.cpp:340:52: warning: ‘uInsertPos’ may be used uninitialized [-Wmaybe-uninitialized] 340 | *ptrTraceBack_ij = (int) uInsertPos - (int) j; | ^~~~~~~~~~~~~~~~ glbalignspn.cpp:307:26: note: ‘uInsertPos’ was declared here 307 | unsigned uInsertPos; | ^~~~~~~~~~ glbalignspn.cpp:401:30: warning: ‘uInsertPos’ may be used uninitialized [-Wmaybe-uninitialized] 401 | iTraceBack = (int) uInsertPos - (int) uLengthB; | ^~~~~~~~~~~~~~~~ glbalignspn.cpp:374:18: note: ‘uInsertPos’ was declared here 374 | unsigned uInsertPos; | ^~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c glbalignss.cpp -o glbalignss.o glbalignss.cpp: In function ‘SCORE GlobalAlignSS(const Seq&, const Seq&, PWPath&)’: glbalignss.cpp:177:30: warning: unused variable ‘ptrRowA’ [-Wunused-variable] 177 | const SCORE *ptrRowA = MxRowA[i]; | ^~~~~~~ glbalignss.cpp:119:24: warning: unused variable ‘uPrefixCountA’ [-Wunused-variable] 119 | const unsigned uPrefixCountA = uLengthA + 1; | ^~~~~~~~~~~~~ glbalignss.cpp:120:24: warning: unused variable ‘uPrefixCountB’ [-Wunused-variable] 120 | const unsigned uPrefixCountB = uLengthB + 1; | ^~~~~~~~~~~~~ glbalignss.cpp: At global scope: glbalignss.cpp:11:14: warning: ‘SCORE Subst(const Seq&, const Seq&, unsigned int, unsigned int)’ defined but not used [-Wunused-function] 11 | static SCORE Subst(const Seq &seqA, const Seq &seqB, unsigned i, unsigned j) | ^~~~~ In file included from muscle.h:38, from glbalignss.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ glbalignss.cpp: In function ‘SCORE GlobalAlignSS(const Seq&, const Seq&, PWPath&)’: glbalignss.cpp:252:52: warning: ‘uInsertPos’ may be used uninitialized [-Wmaybe-uninitialized] 252 | *ptrTraceBack_ij = (int) uInsertPos - (int) j; | ^~~~~~~~~~~~~~~~ glbalignss.cpp:221:26: note: ‘uInsertPos’ was declared here 221 | unsigned uInsertPos; | ^~~~~~~~~~ glbalignss.cpp:310:30: warning: ‘uInsertPos’ may be used uninitialized [-Wmaybe-uninitialized] 310 | iTraceBack = (int) uInsertPos - (int) uLengthB; | ^~~~~~~~~~~~~~~~ glbalignss.cpp:283:18: note: ‘uInsertPos’ was declared here 283 | unsigned uInsertPos; | ^~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c glbalndimer.cpp -o glbalndimer.o glbalndimer.cpp: In function ‘SCORE ScoreProfPosDimer(const ProfPos&, const ProfPos&)’: glbalndimer.cpp:123:16: warning: enumeration value ‘PPSCORE_Undefined’ not handled in switch [-Wswitch] 123 | switch (g_PPScore) | ^ glbalndimer.cpp:123:16: warning: enumeration value ‘PPSCORE_SPN’ not handled in switch [-Wswitch] glbalndimer.cpp: At global scope: glbalndimer.cpp:14:20: warning: ‘const char* LocalScoreToStr(SCORE)’ defined but not used [-Wunused-function] 14 | static const char *LocalScoreToStr(SCORE s) | ^~~~~~~~~~~~~~~ In file included from muscle.h:38, from glbalndimer.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c globals.cpp -o globals.o In file included from muscle.h:38, from globals.cpp:6: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c globalslinux.cpp -o globalslinux.o globalslinux.cpp: In function ‘double GetNAN()’: globalslinux.cpp:17:24: warning: dereferencing type-punned pointer will break strict-aliasing rules [-Wstrict-aliasing] 17 | double dNAN = *( double* )nan; | ^~~~~~~~~~~~~~ In file included from muscle.h:38, from globalslinux.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c globalsosx.cpp -o globalsosx.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c globalsother.cpp -o globalsother.o In file included from muscle.h:38, from globalsother.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c globalswin32.cpp -o globalswin32.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gonnet.cpp -o gonnet.o gonnet.cpp:137:14: warning: ‘Gonnet160’ defined but not used [-Wunused-variable] 137 | static SCORE Gonnet160[20][20] = | ^~~~~~~~~ In file included from muscle.h:38, from gonnet.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c henikoffweight.cpp -o henikoffweight.o In file included from muscle.h:38, from henikoffweight.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c henikoffweightpb.cpp -o henikoffweightpb.o In file included from muscle.h:38, from henikoffweightpb.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c html.cpp -o html.o In file included from muscle.h:38, from html.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c hydro.cpp -o hydro.o In file included from muscle.h:38, from hydro.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c intmath.cpp -o intmath.o In file included from muscle.h:38, from intmath.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c local.cpp -o local.o In file included from muscle.h:38, from local.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c main.cpp -o main.o In file included from muscle.h:38, from main.cpp:3: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c makerootmsa.cpp -o makerootmsa.o makerootmsa.cpp: In function ‘void PathSeq(const Seq&, const PWPath&, bool, Seq&)’: makerootmsa.cpp:18:24: warning: unused variable ‘uSeqLength’ [-Wunused-variable] 18 | const unsigned uSeqLength = s.Length(); | ^~~~~~~~~~ makerootmsa.cpp: In function ‘short int* MakeRootSeqE(const Seq&, const Tree&, unsigned int, const ProgNode*, Seq&, short int*, short int*)’: makerootmsa.cpp:94:31: warning: unused variable ‘Path’ [-Wunused-variable] 94 | const PWPath &Path = Nodes[uNodeIndex].m_Path; | ^~~~ makerootmsa.cpp: In function ‘void MakeRootMSA(const SeqVect&, const Tree&, ProgNode*, MSA&)’: makerootmsa.cpp:168:24: warning: unused variable ‘uTreeNodeCount’ [-Wunused-variable] 168 | const unsigned uTreeNodeCount = GuideTree.GetNodeCount(); | ^~~~~~~~~~~~~~ makerootmsa.cpp: At global scope: makerootmsa.cpp:12:13: warning: ‘void PathSeq(const Seq&, const PWPath&, bool, Seq&)’ defined but not used [-Wunused-function] 12 | static void PathSeq(const Seq &s, const PWPath &Path, bool bRight, Seq &sOut) | ^~~~~~~ In file included from muscle.h:38, from makerootmsa.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c makerootmsab.cpp -o makerootmsab.o In file included from muscle.h:38, from makerootmsab.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c maketree.cpp -o maketree.o In file included from muscle.h:38, from maketree.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c mhack.cpp -o mhack.o In file included from muscle.h:38, from mhack.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c mpam200.cpp -o mpam200.o In file included from muscle.h:38, from mpam200.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c msa.cpp -o msa.o msa.cpp:419:13: warning: ‘void FmtPad(unsigned int)’ defined but not used [-Wunused-function] 419 | static void FmtPad(unsigned n) | ^~~~~~ msa.cpp:407:13: warning: ‘void FmtInt0(unsigned int, unsigned int)’ defined but not used [-Wunused-function] 407 | static void FmtInt0(unsigned u, unsigned uWidth) | ^~~~~~~ msa.cpp:392:13: warning: ‘void FmtInt(unsigned int, unsigned int)’ defined but not used [-Wunused-function] 392 | static void FmtInt(unsigned u, unsigned uWidth) | ^~~~~~ msa.cpp:385:13: warning: ‘void FmtChar(char, unsigned int)’ defined but not used [-Wunused-function] 385 | static void FmtChar(char c, unsigned uWidth) | ^~~~~~~ In file included from muscle.h:38, from msa.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c msa2.cpp -o msa2.o msa2.cpp: In function ‘void SetMSAWeightsMuscle(MSA&)’: msa2.cpp:357:16: warning: enumeration value ‘SEQWEIGHT_Undefined’ not handled in switch [-Wswitch] 357 | switch (Method) | ^ msa2.cpp: In function ‘void MSAAppend(MSA&, const MSA&)’: msa2.cpp:476:24: warning: unused variable ‘uColCountCat’ [-Wunused-variable] 476 | const unsigned uColCountCat = uColCount1 + uColCount2; | ^~~~~~~~~~~~ In file included from muscle.h:38, from msa2.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c msadistkimura.cpp -o msadistkimura.o In file included from muscle.h:38, from msadistkimura.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c msf.cpp -o msf.o msf.cpp:24:20: warning: ‘const char* strfind(const char*, const char*)’ defined but not used [-Wunused-function] 24 | static const char *strfind(const char *s, const char *t) | ^~~~~~~ In file included from muscle.h:38, from msf.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c muscle.cpp -o muscle.o In file included from muscle.h:38, from muscle.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c muscleout.cpp -o muscleout.o In file included from muscle.h:38, from muscleout.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c nucmx.cpp -o nucmx.o In file included from muscle.h:38, from nucmx.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c nwdasimple.cpp -o nwdasimple.o In file included from muscle.h:38, from nwdasimple.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c nwdasimple2.cpp -o nwdasimple2.o In file included from muscle.h:38, from nwdasimple2.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c nwdasmall.cpp -o nwdasmall.o In file included from muscle.h:38, from nwdasmall.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c nwrec.cpp -o nwrec.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c nwsmall.cpp -o nwsmall.o In file included from muscle.h:38, from nwsmall.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c objscore.cpp -o objscore.o objscore.cpp: In function ‘SCORE ObjScore(const MSA&, const unsigned int*, unsigned int, const unsigned int*, unsigned int)’: objscore.cpp:31:16: warning: enumeration value ‘OBJSCORE_Undefined’ not handled in switch [-Wswitch] 31 | switch (OS) | ^ objscore.cpp:31:16: warning: enumeration value ‘OBJSCORE_SPM’ not handled in switch [-Wswitch] In file included from muscle.h:38, from objscore.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c objscore2.cpp -o objscore2.o objscore2.cpp: In function ‘SCORE TermGapScore(bool)’: objscore2.cpp:22:16: warning: enumeration value ‘TERMGAPS_Undefined’ not handled in switch [-Wswitch] 22 | switch (g_TermGaps) | ^ objscore2.cpp: In function ‘SCORE ScoreSeqPairLetters(const MSA&, unsigned int, const MSA&, unsigned int)’: objscore2.cpp:62:15: warning: unused variable ‘scoreGaps’ [-Wunused-variable] 62 | SCORE scoreGaps = 0; | ^~~~~~~~~ objscore2.cpp:63:14: warning: unused variable ‘bGapping1’ [-Wunused-variable] 63 | bool bGapping1 = false; | ^~~~~~~~~ objscore2.cpp:64:14: warning: unused variable ‘bGapping2’ [-Wunused-variable] 64 | bool bGapping2 = false; | ^~~~~~~~~ objscore2.cpp:67:14: warning: variable ‘bLeftTermGap’ set but not used [-Wunused-but-set-variable] 67 | bool bLeftTermGap = false; | ^~~~~~~~~~~~ objscore2.cpp:82:14: warning: variable ‘bRightTermGap’ set but not used [-Wunused-but-set-variable] 82 | bool bRightTermGap = false; | ^~~~~~~~~~~~~ objscore2.cpp: In function ‘SCORE ScoreSeqPairGaps(const MSA&, unsigned int, const MSA&, unsigned int)’: objscore2.cpp:140:14: warning: variable ‘bLeftTermGap’ set but not used [-Wunused-but-set-variable] 140 | bool bLeftTermGap = false; | ^~~~~~~~~~~~ objscore2.cpp:155:14: warning: variable ‘bRightTermGap’ set but not used [-Wunused-but-set-variable] 155 | bool bRightTermGap = false; | ^~~~~~~~~~~~~ objscore2.cpp: In function ‘SCORE ObjScoreDP(const MSA&, const MSA&, SCORE*)’: objscore2.cpp:314:24: warning: unused variable ‘uColCount2’ [-Wunused-variable] 314 | const unsigned uColCount2 = msa2.GetColCount(); | ^~~~~~~~~~ objscore2.cpp: In function ‘SCORE ObjScoreXP(const MSA&, const MSA&)’: objscore2.cpp:493:38: warning: unused variable ‘w’ [-Wunused-variable] 493 | const WEIGHT w = w1*w2; | ^ In file included from muscle.h:38, from objscore2.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c objscoreda.cpp -o objscoreda.o In file included from muscle.h:38, from objscoreda.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c onexception.cpp -o onexception.o In file included from muscle.h:38, from onexception.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c options.cpp -o options.o In file included from muscle.h:38, from options.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c outweights.cpp -o outweights.o In file included from muscle.h:38, from outweights.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c pam200mafft.cpp -o pam200mafft.o pam200mafft.cpp:6:14: warning: ‘PAM200’ defined but not used [-Wunused-variable] 6 | static float PAM200[23][23] = | ^~~~~~ In file included from muscle.h:38, from pam200mafft.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c params.cpp -o params.o params.cpp: In function ‘void SetPPScore(bool)’: params.cpp:441:16: warning: enumeration value ‘PPSCORE_Undefined’ not handled in switch [-Wswitch] 441 | switch (g_PPScore) | ^ In file included from muscle.h:38, from params.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c phy.cpp -o phy.o phy.cpp: In member function ‘void Tree::RootUnrootedTree(ROOT)’: phy.cpp:665:16: warning: unused variable ‘dEdgeLength’ [-Wunused-variable] 665 | double dEdgeLength = GetEdgeLength(uNode1, uNode2); | ^~~~~~~~~~~ In file included from muscle.h:38, from phy.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c phy2.cpp -o phy2.o In file included from muscle.h:38, from phy2.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c phy3.cpp -o phy3.o phy3.cpp: In function ‘void CalcInfo(const Tree&, unsigned int, unsigned int, EdgeInfo**)’: phy3.cpp:125:22: warning: unused variable ‘dThisDist’ [-Wunused-variable] 125 | const double dThisDist = tree.GetEdgeLength(uNode1, uNode2); | ^~~~~~~~~ phy3.cpp: In function ‘void FindRoot(const Tree&, unsigned int*, unsigned int*, double*, double*, ROOT)’: phy3.cpp:167:24: warning: unused variable ‘uLeafCount’ [-Wunused-variable] 167 | const unsigned uLeafCount = tree.GetLeafCount(); | ^~~~~~~~~~ phy3.cpp:190:16: warning: unused variable ‘dAllMaxDist’ [-Wunused-variable] 190 | double dAllMaxDist = -1e20; | ^~~~~~~~~~~ phy3.cpp:191:18: warning: unused variable ‘uMaxFrom’ [-Wunused-variable] 191 | unsigned uMaxFrom = NULL_NEIGHBOR; | ^~~~~~~~ phy3.cpp:192:18: warning: unused variable ‘uMaxTo’ [-Wunused-variable] 192 | unsigned uMaxTo = NULL_NEIGHBOR; | ^~~~~~ phy3.cpp: In function ‘void RootByMidLongestSpan(const Tree&, EdgeInfo**, unsigned int*, unsigned int*, double*, double*)’: phy3.cpp:263:18: warning: variable ‘uMostDistantLeaf’ set but not used [-Wunused-but-set-variable] 263 | unsigned uMostDistantLeaf = NULL_NEIGHBOR; | ^~~~~~~~~~~~~~~~ phy3.cpp: At global scope: phy3.cpp:45:13: warning: ‘void ListEIs(EdgeInfo**, unsigned int)’ defined but not used [-Wunused-function] 45 | static void ListEIs(EdgeInfo **EIs, unsigned uNodeCount) | ^~~~~~~ In file included from muscle.h:38, from phy3.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c phy4.cpp -o phy4.o In file included from muscle.h:38, from phy4.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c phyfromclust.cpp -o phyfromclust.o In file included from muscle.h:38, from phyfromclust.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c phyfromfile.cpp -o phyfromfile.o In file included from muscle.h:38, from phyfromfile.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c physeq.cpp -o physeq.o physeq.cpp: In member function ‘void MSA::ToPhySequentialFile(TextFile&) const’: physeq.cpp:60:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 60 | if (Col == ColCount) | ~~~~^~~~~~~~~~~ physeq.cpp:71:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 71 | if (Col == ColCount) | ~~~~^~~~~~~~~~~ physeq.cpp: In member function ‘void MSA::ToPhyInterleavedFile(TextFile&) const’: physeq.cpp:112:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 112 | if (Col == ColCount) | ~~~~^~~~~~~~~~~ physeq.cpp:124:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 124 | if (Col == ColCount) | ~~~~^~~~~~~~~~~ In file included from muscle.h:38, from physeq.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c phytofile.cpp -o phytofile.o In file included from muscle.h:38, from phytofile.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c posgap.cpp -o posgap.o In file included from muscle.h:38, from posgap.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c ppscore.cpp -o ppscore.o In file included from muscle.h:38, from ppscore.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c profdb.cpp -o profdb.o In file included from clustsetmsa.h:8, from profdb.cpp:9: msadist.h: In member function ‘double MSADist::ComputeDist(const MSA&, unsigned int, unsigned int)’: msadist.h:22:23: warning: enumeration value ‘DISTANCE_Undefined’ not handled in switch [-Wswitch] 22 | switch(m_Distance) | ^ msadist.h:22:23: warning: enumeration value ‘DISTANCE_Kmer6_6’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_Kmer20_3’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_Kmer20_4’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_Kbit20_3’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_Kmer4_6’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_PWKimura’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_PWScoreDist’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_ScoreDist’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_Edit’ not handled in switch [-Wswitch] In file included from muscle.h:38, from profdb.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c profile.cpp -o profile.o In file included from muscle.h:38, from profile.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c profilefrommsa.cpp -o profilefrommsa.o profilefrommsa.cpp: In function ‘void ListProfile(const ProfPos*, unsigned int, const MSA*)’: profilefrommsa.cpp:131:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 131 | if (-1 == PP.m_uResidueGroup) | ~~~^~~~~~~~~~~~~~~~~~~~~ profilefrommsa.cpp: In function ‘unsigned int ResidueGroupFromFCounts(const FCOUNT*)’: profilefrommsa.cpp:230:16: warning: enumeration value ‘ALPHA_Undefined’ not handled in switch [-Wswitch] 230 | switch (g_Alpha) | ^ profilefrommsa.cpp: In function ‘ProfPos* ProfileFromMSA(const MSA&)’: profilefrommsa.cpp:245:24: warning: unused variable ‘uSeqCount’ [-Wunused-variable] 245 | const unsigned uSeqCount = a.GetSeqCount(); | ^~~~~~~~~ profilefrommsa.cpp:253:18: warning: unused variable ‘uHydrophobicRunLength’ [-Wunused-variable] 253 | unsigned uHydrophobicRunLength = 0; | ^~~~~~~~~~~~~~~~~~~~~ profilefrommsa.cpp: At global scope: profilefrommsa.cpp:15:20: warning: ‘const char* LocalScoreToStr(SCORE)’ defined but not used [-Wunused-function] 15 | static const char *LocalScoreToStr(SCORE s) | ^~~~~~~~~~~~~~~ In file included from muscle.h:38, from profilefrommsa.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c progalign.cpp -o progalign.o progalign.cpp: In function ‘ProgNode* ProgressiveAlignE(const SeqVect&, const Tree&, MSA&)’: progalign.cpp:41:24: warning: unused variable ‘uIterCount’ [-Wunused-variable] 41 | const unsigned uIterCount = uSeqCount - 1; | ^~~~~~~~~~ In file included from muscle.h:38, from progalign.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c progress.cpp -o progress.o In file included from muscle.h:38, from progress.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c progressivealign.cpp -o progressivealign.o In file included from muscle.h:38, from progressivealign.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c pwpath.cpp -o pwpath.o pwpath.cpp: In member function ‘void PWPath::Validate() const’: pwpath.cpp:80:23: warning: unused variable ‘LastEdge’ [-Wunused-variable] 80 | const PWEdge &LastEdge = GetEdge(uEdgeCount - 1); | ^~~~~~~~ pwpath.cpp: In member function ‘void PWPath::FromFile(TextFile&)’: pwpath.cpp:213:18: warning: unused variable ‘uEdgeIndex’ [-Wunused-variable] 213 | unsigned uEdgeIndex = 0; | ^~~~~~~~~~ In file included from muscle.h:38, from pwpath.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c readmx.cpp -o readmx.o readmx.cpp: In function ‘float (* ReadMx(TextFile&))[32][32]’: readmx.cpp:83:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 83 | for (int i = 0; i < MAX_ALPHA; ++i) | ~~^~~~~~~~~~~ readmx.cpp:84:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 84 | for (int j = 0; j < MAX_ALPHA; ++j) | ~~^~~~~~~~~~~ readmx.cpp: In function ‘float (* ReadMxFromR(std::vector >, float (*)[32]))[32][32]’: readmx.cpp:184:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 184 | for (int i = 0; i < MAX_ALPHA; ++i) | ~~^~~~~~~~~~~ readmx.cpp:185:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 185 | for (int j = 0; j < MAX_ALPHA; ++j) | ~~^~~~~~~~~~~ readmx.cpp: At global scope: readmx.cpp:30:17: warning: ‘unsigned int MxCharToLetter(char)’ defined but not used [-Wunused-function] 30 | static unsigned MxCharToLetter(char c) | ^~~~~~~~~~~~~~ In file included from muscle.h:38, from readmx.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c realigndiffs.cpp -o realigndiffs.o In file included from muscle.h:38, from realigndiffs.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c realigndiffse.cpp -o realigndiffse.o realigndiffse.cpp: In function ‘void RealignDiffsE(const MSA&, const SeqVect&, const Tree&, const Tree&, const unsigned int*, MSA&, ProgNode*)’: realigndiffse.cpp:82:34: warning: unused variable ‘uNewRight’ [-Wunused-variable] 82 | unsigned uNewRight = NewTree.GetRight(uNewNodeIndex); | ^~~~~~~~~ realigndiffse.cpp:85:34: warning: unused variable ‘uOldRight’ [-Wunused-variable] 85 | unsigned uOldRight = OldTree.GetRight(uOld); | ^~~~~~~~~ In file included from muscle.h:38, from realigndiffse.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c refine.cpp -o refine.o In file included from clustsetmsa.h:8, from refine.cpp:9: msadist.h: In member function ‘double MSADist::ComputeDist(const MSA&, unsigned int, unsigned int)’: msadist.h:22:23: warning: enumeration value ‘DISTANCE_Undefined’ not handled in switch [-Wswitch] 22 | switch(m_Distance) | ^ msadist.h:22:23: warning: enumeration value ‘DISTANCE_Kmer6_6’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_Kmer20_3’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_Kmer20_4’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_Kbit20_3’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_Kmer4_6’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_PWKimura’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_PWScoreDist’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_ScoreDist’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_Edit’ not handled in switch [-Wswitch] In file included from muscle.h:38, from refine.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c refinehoriz.cpp -o refinehoriz.o In file included from muscle.h:38, from refinehoriz.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ refinehoriz.cpp: In function ‘bool RefineHoriz(MSA&, const Tree&, unsigned int, bool, bool)’: refinehoriz.cpp:173:23: warning: ‘scoreBefore’ may be used uninitialized [-Wmaybe-uninitialized] 173 | SCORE scoreBefore; | ^~~~~~~~~~~ refinehoriz.cpp:174:23: warning: ‘scoreAfter’ may be used uninitialized [-Wmaybe-uninitialized] 174 | SCORE scoreAfter; | ^~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c refinesubfams.cpp -o refinesubfams.o refinesubfams.cpp: In function ‘bool RefineSubfams(MSA&, const Tree&, unsigned int)’: refinesubfams.cpp:63:24: warning: unused variable ‘uNodeCount’ [-Wunused-variable] 63 | const unsigned uNodeCount = tree.GetNodeCount(); | ^~~~~~~~~~ In file included from muscle.h:38, from refinesubfams.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c refinetree.cpp -o refinetree.o In file included from muscle.h:38, from refinetree.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c refinetreee.cpp -o refinetreee.o In file included from muscle.h:38, from refinetreee.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c refinevert.cpp -o refinevert.o In file included from muscle.h:38, from refinevert.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c refinew.cpp -o refinew.o refinew.cpp: In function ‘void AppendMSA(MSA&, const MSA&)’: refinew.cpp:22:24: warning: unused variable ‘uColCountCat’ [-Wunused-variable] 22 | const unsigned uColCountCat = uColCount1 + uColCount2; | ^~~~~~~~~~~~ refinew.cpp: In function ‘void RefineW(const MSA&, MSA&)’: refinew.cpp:125:34: warning: unused variable ‘uOutCols’ [-Wunused-variable] 125 | unsigned uOutCols = msaOut.GetColCount(); | ^~~~~~~~ In file included from muscle.h:38, from refinew.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c savebest.cpp -o savebest.o In file included from muscle.h:38, from savebest.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c scoredist.cpp -o scoredist.o In file included from muscle.h:38, from scoredist.cpp:3: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c scoregaps.cpp -o scoregaps.o scoregaps.cpp:80:14: warning: ‘SCORE Penalty(unsigned int, bool)’ defined but not used [-Wunused-function] 80 | static SCORE Penalty(unsigned Length, bool Term) | ^~~~~~~ scoregaps.cpp:37:13: warning: ‘void FreeGapInfo(GAPINFO*)’ defined but not used [-Wunused-function] 37 | static void FreeGapInfo(GAPINFO *GI) | ^~~~~~~~~~~ In file included from muscle.h:38, from scoregaps.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c scorehistory.cpp -o scorehistory.o In file included from muscle.h:38, from scorehistory.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c scorepp.cpp -o scorepp.o In file included from muscle.h:38, from scorepp.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c seq.cpp -o seq.o In file included from muscle.h:38, from seq.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c seqvect.cpp -o seqvect.o In file included from muscle.h:38, from seqvect.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c setblosumweights.cpp -o setblosumweights.o In file included from muscle.h:38, from setblosumweights.cpp:42: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c setgscweights.cpp -o setgscweights.o In file included from muscle.h:38, from setgscweights.cpp:104: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c setnewhandler.cpp -o setnewhandler.o In file included from muscle.h:38, from setnewhandler.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c spfast.cpp -o spfast.o spfast.cpp: In function ‘SCORE ObjScoreSPDimer(const MSA&)’: spfast.cpp:252:24: warning: unused variable ‘uSeqCount’ [-Wunused-variable] 252 | const unsigned uSeqCount = msa.GetSeqCount(); | ^~~~~~~~~ spfast.cpp: At global scope: spfast.cpp:59:14: warning: ‘SCORE SPColBrute(const MSA&, unsigned int)’ defined but not used [-Wunused-function] 59 | static SCORE SPColBrute(const MSA &msa, unsigned uColIndex) | ^~~~~~~~~~ spfast.cpp:14:20: warning: ‘const char* GapTypeToStr(int)’ defined but not used [-Wunused-function] 14 | static const char *GapTypeToStr(int GapType) | ^~~~~~~~~~~~ In file included from muscle.h:38, from spfast.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c sptest.cpp -o sptest.o In file included from muscle.h:38, from sptest.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c stabilize.cpp -o stabilize.o In file included from muscle.h:38, from stabilize.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c subfam.cpp -o subfam.o subfam.cpp: In function ‘void AlignSubFam(SeqVect&, const Tree&, unsigned int, MSA&)’: subfam.cpp:173:13: warning: unused variable ‘NotUsed’ [-Wunused-variable] 173 | int NotUsed = system(CmdLine); | ^~~~~~~ In file included from muscle.h:38, from subfam.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c subfams.cpp -o subfams.o subfams.cpp:54:13: warning: ‘void Relax(DistFunc&, unsigned int, unsigned int)’ defined but not used [-Wunused-function] 54 | static void Relax(DistFunc &DF, unsigned u, unsigned v) | ^~~~~ subfams.cpp:42:13: warning: ‘void InitializeSingleSource(DistFunc&, unsigned int)’ defined but not used [-Wunused-function] 42 | static void InitializeSingleSource(DistFunc &DF, unsigned uIndex) | ^~~~~~~~~~~~~~~~~~~~~~ subfams.cpp:12:13: warning: ‘void GetMostDistantPair(DistFunc&, unsigned int*, unsigned int*)’ defined but not used [-Wunused-function] 12 | static void GetMostDistantPair(DistFunc &DF, unsigned *ptrIndex1, unsigned *ptrIndex2) | ^~~~~~~~~~~~~~~~~~ In file included from muscle.h:38, from subfams.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c sw.cpp -o sw.o sw.cpp:20:13: warning: ‘void ListDP(const SCORE*, const ProfPos*, const ProfPos*, unsigned int, unsigned int)’ defined but not used [-Wunused-function] 20 | static void ListDP(const SCORE *DPM_, const ProfPos *PA, const ProfPos *PB, | ^~~~~~ In file included from muscle.h:38, from sw.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c termgaps.cpp -o termgaps.o In file included from muscle.h:38, from termgaps.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c textfile.cpp -o textfile.o textfile.cpp: In member function ‘void TextFile::PutChar(char)’: textfile.cpp:111:13: warning: unused variable ‘i’ [-Wunused-variable] 111 | int i = fputc(c, m_ptrFile); | ^ textfile.cpp: In member function ‘void TextFile::PutString(const char*)’: textfile.cpp:124:13: warning: unused variable ‘iError’ [-Wunused-variable] 124 | int iError = fputs(szLine, m_ptrFile); | ^~~~~~ In file included from muscle.h:38, from textfile.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c threewaywt.cpp -o threewaywt.o In file included from muscle.h:38, from threewaywt.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c tomhydro.cpp -o tomhydro.o In file included from muscle.h:38, from tomhydro.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c traceback.cpp -o traceback.o traceback.cpp: In function ‘SCORE TraceBack(const ProfPos*, unsigned int, const ProfPos*, unsigned int, const SCORE*, const SCORE*, const SCORE*, PWPath&)’: traceback.cpp:21:24: warning: unused variable ‘uPrefixCountB’ [-Wunused-variable] 21 | const unsigned uPrefixCountB = uLengthB + 1; | ^~~~~~~~~~~~~ In file included from muscle.h:38, from traceback.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c tracebackopt.cpp -o tracebackopt.o In file included from muscle.h:38, from tracebackopt.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c tracebacksw.cpp -o tracebacksw.o tracebacksw.cpp: In function ‘void TraceBackSW(const ProfPos*, unsigned int, const ProfPos*, unsigned int, const SCORE*, const SCORE*, const SCORE*, unsigned int, unsigned int, PWPath&)’: tracebacksw.cpp:22:24: warning: unused variable ‘uPrefixCountB’ [-Wunused-variable] 22 | const unsigned uPrefixCountB = uLengthB + 1; | ^~~~~~~~~~~~~ tracebacksw.cpp:29:15: warning: unused variable ‘scoreMax’ [-Wunused-variable] 29 | SCORE scoreMax = DPM(uPrefixLengthA, uPrefixLengthB); | ^~~~~~~~ In file included from muscle.h:38, from tracebacksw.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c treefrommsa.cpp -o treefrommsa.o In file included from clustsetmsa.h:8, from treefrommsa.cpp:5: msadist.h: In member function ‘double MSADist::ComputeDist(const MSA&, unsigned int, unsigned int)’: msadist.h:22:23: warning: enumeration value ‘DISTANCE_Undefined’ not handled in switch [-Wswitch] 22 | switch(m_Distance) | ^ msadist.h:22:23: warning: enumeration value ‘DISTANCE_Kmer6_6’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_Kmer20_3’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_Kmer20_4’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_Kbit20_3’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_Kmer4_6’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_PWKimura’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_PWScoreDist’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_ScoreDist’ not handled in switch [-Wswitch] msadist.h:22:23: warning: enumeration value ‘DISTANCE_Edit’ not handled in switch [-Wswitch] In file included from muscle.h:38, from treefrommsa.cpp:1: intmath.h: At global scope: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c typetostr.cpp -o typetostr.o In file included from muscle.h:38, from typetostr.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c upgma2.cpp -o upgma2.o upgma2.cpp:68:13: warning: ‘void ListState()’ defined but not used [-Wunused-function] 68 | static void ListState() | ^~~~~~~~~ In file included from muscle.h:38, from upgma2.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ upgma2.cpp: In function ‘void UPGMA2(const DistCalc&, Tree&, LINKAGE)’: upgma2.cpp:292:36: warning: ‘dtNewDist’ may be used uninitialized [-Wmaybe-uninitialized] 292 | g_Dist[vL] = dtNewDist; | ~~~~~~~~~~~^~~~~~~~~~~ upgma2.cpp:252:32: note: ‘dtNewDist’ was declared here 252 | dist_t dtNewDist; | ^~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c usage.cpp -o usage.o In file included from muscle.h:38, from usage.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c validateids.cpp -o validateids.o In file included from muscle.h:38, from validateids.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c vtml2.cpp -o vtml2.o In file included from muscle.h:38, from vtml2.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c writescorefile.cpp -o writescorefile.o In file included from muscle.h:38, from writescorefile.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ In function ‘double GetColScore(const MSA&, unsigned int)’, inlined from ‘void WriteScoreFile(const MSA&)’ at writescorefile.cpp:59:29: writescorefile.cpp:40:30: warning: ‘Score’ may be used uninitialized [-Wmaybe-uninitialized] 40 | dSum += Score; | ~~~~~^~~~~~~~ writescorefile.cpp: In function ‘void WriteScoreFile(const MSA&)’: writescorefile.cpp:27:32: note: ‘Score’ was declared here 27 | double Score; | ^~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RMuscle.cpp -o RMuscle.o In file included from muscle.h:38, from RMuscle.h:4, from RMuscle.cpp:1: intmath.h:59:15: warning: ‘double ScoreToDouble(SCORE)’ defined but not used [-Wunused-function] 59 | static double ScoreToDouble(SCORE Score) | ^~~~~~~~~~~~~ g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o libMuscle.so aligngivenpath.o aligngivenpathsw.o aligntwomsas.o aligntwoprofs.o aln.o alpha.o anchors.o bittraceback.o blosum62.o blosumla.o clust.o cluster.o clwwt.o color.o cons.o diaglist.o diffobjscore.o diffpaths.o difftrees.o difftreese.o distcalc.o distfunc.o distpwkimura.o domuscle.o dosp.o dpreglist.o drawtree.o edgelist.o enumopts.o enumtostr.o estring.o fasta.o fasta2.o fastclust.o fastdist.o fastdistjones.o fastdistkbit.o fastdistkmer.o fastdistmafft.o fastdistnuc.o fastscorepath2.o finddiags.o finddiagsn.o glbalign.o glbalign352.o glbaligndiag.o glbalignle.o glbalignsimple.o glbalignsp.o glbalignspn.o glbalignss.o glbalndimer.o globals.o globalslinux.o globalsosx.o globalsother.o globalswin32.o gonnet.o henikoffweight.o henikoffweightpb.o html.o hydro.o intmath.o local.o main.o makerootmsa.o makerootmsab.o maketree.o mhack.o mpam200.o msa.o msa2.o msadistkimura.o msf.o muscle.o muscleout.o nucmx.o nwdasimple.o nwdasimple2.o nwdasmall.o nwrec.o nwsmall.o objscore.o objscore2.o objscoreda.o onexception.o options.o outweights.o pam200mafft.o params.o phy.o phy2.o phy3.o phy4.o phyfromclust.o phyfromfile.o physeq.o phytofile.o posgap.o ppscore.o profdb.o profile.o profilefrommsa.o progalign.o progress.o progressivealign.o pwpath.o readmx.o realigndiffs.o realigndiffse.o refine.o refinehoriz.o refinesubfams.o refinetree.o refinetreee.o refinevert.o refinew.o savebest.o scoredist.o scoregaps.o scorehistory.o scorepp.o seq.o seqvect.o setblosumweights.o setgscweights.o setnewhandler.o spfast.o sptest.o stabilize.o subfam.o subfams.o sw.o termgaps.o textfile.o threewaywt.o tomhydro.o traceback.o tracebackopt.o tracebacksw.o treefrommsa.o typetostr.o upgma2.o usage.o validateids.o vtml2.o writescorefile.o RMuscle.o -L/home/hornik/tmp/R/lib -lR make[3]: Leaving directory '/home/hornik/tmp/scratch/Rtmpa55zeB/R.INSTALL34028169d22899/msa/src/Muscle' ar rcs libMuscle.a aligngivenpath.o aligngivenpathsw.o aligntwomsas.o aligntwoprofs.o aln.o alpha.o anchors.o bittraceback.o blosum62.o blosumla.o clust.o cluster.o clwwt.o color.o cons.o diaglist.o diffobjscore.o diffpaths.o difftrees.o difftreese.o distcalc.o distfunc.o distpwkimura.o domuscle.o dosp.o dpreglist.o drawtree.o edgelist.o enumopts.o enumtostr.o estring.o fasta.o fasta2.o fastclust.o fastdist.o fastdistjones.o fastdistkbit.o fastdistkmer.o fastdistmafft.o fastdistnuc.o fastscorepath2.o finddiags.o finddiagsn.o glbalign.o glbalign352.o glbaligndiag.o glbalignle.o glbalignsimple.o glbalignsp.o glbalignspn.o glbalignss.o glbalndimer.o globals.o globalslinux.o globalsosx.o globalsother.o globalswin32.o gonnet.o henikoffweight.o henikoffweightpb.o html.o hydro.o intmath.o local.o main.o makerootmsa.o makerootmsab.o maketree.o mhack.o mpam200.o msa.o msa2.o msadistkimura.o msf.o muscle.o muscleout.o nucmx.o nwdasimple.o nwdasimple2.o nwdasmall.o nwrec.o nwsmall.o objscore.o objscore2.o objscoreda.o onexception.o options.o outweights.o pam200mafft.o params.o phy.o phy2.o phy3.o phy4.o phyfromclust.o phyfromfile.o physeq.o phytofile.o posgap.o ppscore.o profdb.o profile.o profilefrommsa.o progalign.o progress.o progressivealign.o pwpath.o readmx.o realigndiffs.o realigndiffse.o refine.o refinehoriz.o refinesubfams.o refinetree.o refinetreee.o refinevert.o refinew.o savebest.o scoredist.o scoregaps.o scorehistory.o scorepp.o seq.o seqvect.o setblosumweights.o setgscweights.o setnewhandler.o spfast.o sptest.o stabilize.o subfam.o subfams.o sw.o termgaps.o textfile.o threewaywt.o tomhydro.o traceback.o tracebackopt.o tracebacksw.o treefrommsa.o typetostr.o upgma2.o usage.o validateids.o vtml2.o writescorefile.o RMuscle.o cp libMuscle.a ../ make[2]: Leaving directory '/home/hornik/tmp/scratch/Rtmpa55zeB/R.INSTALL34028169d22899/msa/src/Muscle' ---------------------------------------- ---------------- MUSCLE ---------------- ---------------------------------------- --------- Compilation finished --------- ---------------------------------------- make --file=msaMakefile --directory=ClustalW make[2]: Entering directory '/home/hornik/tmp/scratch/Rtmpa55zeB/R.INSTALL34028169d22899/msa/src/ClustalW' ./configure; \ cd src; \ export PKG_CXXFLAGS="-DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result"; \ /home/hornik/tmp/R/bin/R CMD SHLIB -o libClustalW.so pairwise/FullPairwiseAlign.cpp pairwise/FastPairwiseAlign.cpp fileInput/MSFFileParser.cpp fileInput/FileReader.cpp fileInput/PIRFileParser.cpp fileInput/RSFFileParser.cpp fileInput/GDEFileParser.cpp fileInput/InFileStream.cpp fileInput/ClustalFileParser.cpp fileInput/PearsonFileParser.cpp fileInput/FileParser.cpp fileInput/EMBLFileParser.cpp tree/UPGMA/RootedClusterTree.cpp tree/UPGMA/UPGMAAlgorithm.cpp tree/UPGMA/Node.cpp tree/UPGMA/RootedGuideTree.cpp tree/UPGMA/RootedTreeOutput.cpp tree/Tree.cpp tree/ClusterTree.cpp tree/TreeInterface.cpp tree/UnRootedClusterTree.cpp tree/ClusterTreeOutput.cpp tree/RandomGenerator.cpp tree/NJTree.cpp tree/AlignmentSteps.cpp interface/CommandLineParser.cpp substitutionMatrix/SubMatrix.cpp multipleAlign/Iteration.cpp multipleAlign/MSA.cpp multipleAlign/MyersMillerProfileAlign.cpp multipleAlign/ProfileStandard.cpp multipleAlign/ProfileWithSub.cpp multipleAlign/ProfileBase.cpp multipleAlign/LowScoreSegProfile.cpp general/OutputFile.cpp general/UserParameters.cpp general/Utility.cpp general/InvalidCombination.cpp general/DebugLog.cpp general/ClustalWResources.cpp general/VectorOutOfRange.cpp general/SymMatrix.cpp general/Stats.cpp Help.cpp alignment/Alignment.cpp alignment/AlignmentOutput.cpp alignment/ObjectiveScore.cpp alignment/Sequence.cpp Clustal.cpp RClustalWMain.cpp RClustalW.cpp && \ ar rcs libClustalW.a pairwise/FullPairwiseAlign.o pairwise/FastPairwiseAlign.o fileInput/MSFFileParser.o fileInput/FileReader.o fileInput/PIRFileParser.o fileInput/RSFFileParser.o fileInput/GDEFileParser.o fileInput/InFileStream.o fileInput/ClustalFileParser.o fileInput/PearsonFileParser.o fileInput/FileParser.o fileInput/EMBLFileParser.o tree/UPGMA/RootedClusterTree.o tree/UPGMA/UPGMAAlgorithm.o tree/UPGMA/Node.o tree/UPGMA/RootedGuideTree.o tree/UPGMA/RootedTreeOutput.o tree/Tree.o tree/ClusterTree.o tree/TreeInterface.o tree/UnRootedClusterTree.o tree/ClusterTreeOutput.o tree/RandomGenerator.o tree/NJTree.o tree/AlignmentSteps.o interface/CommandLineParser.o substitutionMatrix/SubMatrix.o multipleAlign/Iteration.o multipleAlign/MSA.o multipleAlign/MyersMillerProfileAlign.o multipleAlign/ProfileStandard.o multipleAlign/ProfileWithSub.o multipleAlign/ProfileBase.o multipleAlign/LowScoreSegProfile.o general/OutputFile.o general/UserParameters.o general/Utility.o general/InvalidCombination.o general/DebugLog.o general/ClustalWResources.o general/VectorOutOfRange.o general/SymMatrix.o general/Stats.o Help.o alignment/Alignment.o alignment/AlignmentOutput.o alignment/ObjectiveScore.o alignment/Sequence.o Clustal.o RClustalWMain.o RClustalW.o && \ cp libClustalW.a ../../ checking build system type... x86_64-pc-linux-gnu checking host system type... x86_64-pc-linux-gnu checking target system type... x86_64-pc-linux-gnu building for linux-gnu checking for a BSD-compatible install... /usr/bin/install -c checking whether build environment is sane... yes checking for a thread-safe mkdir -p... /usr/bin/mkdir -p checking for gawk... gawk checking whether make sets $(MAKE)... yes checking whether make sets $(MAKE)... (cached) yes checking for gcc... gcc checking whether the C compiler works... yes checking for C compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether we are using the GNU C compiler... yes checking whether gcc accepts -g... yes checking for gcc option to accept ISO C89... none needed checking for style of include used by make... GNU checking dependency style of gcc... gcc3 checking for g++... g++ checking whether we are using the GNU C++ compiler... yes checking whether g++ accepts -g... yes checking dependency style of g++... gcc3 checking for ranlib... ranlib checking how to run the C++ preprocessor... g++ -E checking for grep that handles long lines and -e... /usr/bin/grep checking for egrep... /usr/bin/grep -E checking for ANSI C header files... yes checking for sys/types.h... yes checking for sys/stat.h... yes checking for stdlib.h... yes checking for string.h... yes checking for memory.h... yes checking for strings.h... yes checking for inttypes.h... yes checking for stdint.h... yes checking for unistd.h... yes checking for stdbool.h that conforms to C99... no checking for _Bool... no checking for an ANSI C-conforming const... yes checking for size_t... yes checking for stdlib.h... (cached) yes checking for GNU libc compatible malloc... yes configure: creating ./config.status config.status: creating Makefile config.status: creating m4/Makefile config.status: creating src/Makefile config.status: creating src/clustalw_version.h config.status: creating src/config.h config.status: executing depfiles commands using C++ compiler: ‘g++-15 (Debian 15.2.0-12) 15.2.0’ make[3]: Entering directory '/home/hornik/tmp/scratch/Rtmpa55zeB/R.INSTALL34028169d22899/msa/src/ClustalW/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c pairwise/FullPairwiseAlign.cpp -o pairwise/FullPairwiseAlign.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c pairwise/FastPairwiseAlign.cpp -o pairwise/FastPairwiseAlign.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c fileInput/MSFFileParser.cpp -o fileInput/MSFFileParser.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c fileInput/FileReader.cpp -o fileInput/FileReader.o fileInput/FileReader.cpp: In member function ‘int clustalw::FileReader::readCharacterSeqs(clustalw::Alignment*, int, std::string*, ClustalWInput*)’: fileInput/FileReader.cpp:421:17: warning: variable ‘maxAlnLength’ set but not used [-Wunused-but-set-variable] 421 | int maxAlnLength; // Get values from the Alignment object. | ^~~~~~~~~~~~ fileInput/FileReader.cpp: In member function ‘void clustalw::FileReader::checkInfile(int*, std::auto_ptr&)’: fileInput/FileReader.cpp:692:21: warning: catching polymorphic type ‘class std::exception’ by value [-Wcatch-value=] 692 | catch(exception ex) | ^~ fileInput/FileReader.cpp: In member function ‘int clustalw::FileReader::readCharacterSeqs(clustalw::Alignment*, int, std::string*, ClustalWInput*)’: fileInput/FileReader.cpp:357:54: warning: ‘this’ pointer is null [-Wnonnull] 357 | seqRangeVector = fileParser->getSeqRangeR(1, noSeqs, offendingSeq, input); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from fileInput/FileReader.h:16, from fileInput/FileReader.cpp:29: fileInput/FileParser.h:44:26: note: in a call to non-static member function ‘std::vector clustalw::FileParser::getSeqRangeR(int, int, std::string*, ClustalWInput*)’ 44 | vector getSeqRangeR(int firstSeq, int num, string *offendingSeq, ClustalWInput *input); | ^~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c fileInput/PIRFileParser.cpp -o fileInput/PIRFileParser.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c fileInput/RSFFileParser.cpp -o fileInput/RSFFileParser.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c fileInput/GDEFileParser.cpp -o fileInput/GDEFileParser.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c fileInput/InFileStream.cpp -o fileInput/InFileStream.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c fileInput/ClustalFileParser.cpp -o fileInput/ClustalFileParser.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c fileInput/PearsonFileParser.cpp -o fileInput/PearsonFileParser.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c fileInput/FileParser.cpp -o fileInput/FileParser.o fileInput/FileParser.cpp: In member function ‘std::vector clustalw::FileParser::getSeqRangeR(int, int, std::string*, ClustalWInput*)’: fileInput/FileParser.cpp:38:21: warning: unused variable ‘n’ [-Wunused-variable] 38 | int n = (*input).inputSeqs.size(); | ^ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c fileInput/EMBLFileParser.cpp -o fileInput/EMBLFileParser.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c tree/UPGMA/RootedClusterTree.cpp -o tree/UPGMA/RootedClusterTree.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c tree/UPGMA/UPGMAAlgorithm.cpp -o tree/UPGMA/UPGMAAlgorithm.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c tree/UPGMA/Node.cpp -o tree/UPGMA/Node.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c tree/UPGMA/RootedGuideTree.cpp -o tree/UPGMA/RootedGuideTree.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c tree/UPGMA/RootedTreeOutput.cpp -o tree/UPGMA/RootedTreeOutput.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c tree/Tree.cpp -o tree/Tree.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c tree/ClusterTree.cpp -o tree/ClusterTree.o tree/ClusterTree.cpp: In member function ‘void clustalw::ClusterTree::calcPercIdentity(std::ofstream*, clustalw::Alignment*)’: tree/ClusterTree.cpp:580:9: warning: variable ‘rs’ set but not used [-Wunused-but-set-variable] 580 | int rs = 0, rl = 0; | ^~ tree/ClusterTree.cpp:580:17: warning: variable ‘rl’ set but not used [-Wunused-but-set-variable] 580 | int rs = 0, rl = 0; | ^~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c tree/TreeInterface.cpp -o tree/TreeInterface.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c tree/UnRootedClusterTree.cpp -o tree/UnRootedClusterTree.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c tree/ClusterTreeOutput.cpp -o tree/ClusterTreeOutput.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c tree/RandomGenerator.cpp -o tree/RandomGenerator.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c tree/NJTree.cpp -o tree/NJTree.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c tree/AlignmentSteps.cpp -o tree/AlignmentSteps.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c interface/CommandLineParser.cpp -o interface/CommandLineParser.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c substitutionMatrix/SubMatrix.cpp -o substitutionMatrix/SubMatrix.o substitutionMatrix/SubMatrix.cpp: In member function ‘int clustalw::SubMatrix::readMatrixSeriesFromR(Rcpp::NumericMatrix, clustalw::Matrix&, clustalw::Xref&)’: substitutionMatrix/SubMatrix.cpp:1305:10: warning: unused variable ‘inline1’ [-Wunused-variable] 1305 | char inline1[1024]; | ^~~~~~~ substitutionMatrix/SubMatrix.cpp:1307:9: warning: unused variable ‘nmat’ [-Wunused-variable] 1307 | int nmat; | ^~~~ substitutionMatrix/SubMatrix.cpp:1308:9: warning: unused variable ‘n’ [-Wunused-variable] 1308 | int n, llimit, ulimit; | ^ substitutionMatrix/SubMatrix.cpp:1308:12: warning: unused variable ‘llimit’ [-Wunused-variable] 1308 | int n, llimit, ulimit; | ^~~~~~ substitutionMatrix/SubMatrix.cpp:1308:20: warning: unused variable ‘ulimit’ [-Wunused-variable] 1308 | int n, llimit, ulimit; | ^~~~~~ substitutionMatrix/SubMatrix.cpp: In member function ‘int clustalw::SubMatrix::readUserMatrixFromR(Rcpp::NumericMatrix, clustalw::Matrix&, clustalw::Xref&)’: substitutionMatrix/SubMatrix.cpp:1361:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1361 | for (j = 0; j < curline.length(); j++) { | ~~^~~~~~~~~~~~~~~~~~ substitutionMatrix/SubMatrix.cpp: In member function ‘void clustalw::SubMatrix::getQTMatrixForHistogram(int (*)[32])’: substitutionMatrix/SubMatrix.cpp:1845:9: warning: variable ‘maxRes’ set but not used [-Wunused-but-set-variable] 1845 | int maxRes; | ^~~~~~ substitutionMatrix/SubMatrix.cpp: In member function ‘void clustalw::SubMatrix::getQTMatrixForLowScoreSeg(int (*)[32])’: substitutionMatrix/SubMatrix.cpp:1905:9: warning: variable ‘maxRes’ set but not used [-Wunused-but-set-variable] 1905 | int maxRes; | ^~~~~~ substitutionMatrix/SubMatrix.cpp: In member function ‘int clustalw::SubMatrix::readMatrixSeries(const char*, clustalw::Matrix&, clustalw::Xref&)’: substitutionMatrix/SubMatrix.cpp:1128:19: warning: ‘n’ may be used uninitialized [-Wmaybe-uninitialized] 1128 | return (maxRes); | ^ substitutionMatrix/SubMatrix.cpp:1023:9: note: ‘n’ was declared here 1023 | int n, llimit, ulimit; | ^ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c multipleAlign/Iteration.cpp -o multipleAlign/Iteration.o multipleAlign/Iteration.cpp: In member function ‘bool clustalw::Iteration::removeFirstIterate(clustalw::Alignment*)’: multipleAlign/Iteration.cpp:170:9: warning: variable ‘count’ set but not used [-Wunused-but-set-variable] 170 | int count; | ^~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c multipleAlign/MSA.cpp -o multipleAlign/MSA.o multipleAlign/MSA.cpp: In member function ‘int clustalw::MSA::multiSeqAlign(clustalw::Alignment*, clustalw::DistMatrix*, std::vector*, clustalw::AlignmentSteps*, int)’: multipleAlign/MSA.cpp:340:11: warning: unused variable ‘alignmentScore’ [-Wunused-variable] 340 | int alignmentScore = alnPtr->alignScore(); // ?? check, FS, 2009-05-18 | ^~~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c multipleAlign/MyersMillerProfileAlign.cpp -o multipleAlign/MyersMillerProfileAlign.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c multipleAlign/ProfileStandard.cpp -o multipleAlign/ProfileStandard.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c multipleAlign/ProfileWithSub.cpp -o multipleAlign/ProfileWithSub.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c multipleAlign/ProfileBase.cpp -o multipleAlign/ProfileBase.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c multipleAlign/LowScoreSegProfile.cpp -o multipleAlign/LowScoreSegProfile.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c general/OutputFile.cpp -o general/OutputFile.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c general/UserParameters.cpp -o general/UserParameters.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c general/Utility.cpp -o general/Utility.o general/Utility.cpp: In member function ‘bool clustalw::Utility::lineType(char*, const char*)’: general/Utility.cpp:251:8: warning: variable ‘n’ set but not used [-Wunused-but-set-variable] 251 | int n; | ^ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c general/InvalidCombination.cpp -o general/InvalidCombination.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c general/DebugLog.cpp -o general/DebugLog.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c general/ClustalWResources.cpp -o general/ClustalWResources.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c general/VectorOutOfRange.cpp -o general/VectorOutOfRange.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c general/SymMatrix.cpp -o general/SymMatrix.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c general/Stats.cpp -o general/Stats.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c Help.cpp -o Help.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c alignment/Alignment.cpp -o alignment/Alignment.o alignment/Alignment.cpp: In member function ‘bool clustalw::Alignment::keepPortionOfSeqArray(int, int)’: alignment/Alignment.cpp:1715:24: warning: variable ‘posToAddTo’ set but not used [-Wunused-but-set-variable] 1715 | SeqArray::iterator posToAddTo = sectionToRealign.begin(); | ^~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c alignment/AlignmentOutput.cpp -o alignment/AlignmentOutput.o alignment/AlignmentOutput.cpp: In member function ‘void clustalw::AlignmentOutput::fastaOut(clustalw::Alignment*, clustalw::outputRegion, ClustalWOutput*)’: alignment/AlignmentOutput.cpp:683:28: warning: catching polymorphic type ‘class clustalw::VectorOutOfRange’ by value [-Wcatch-value=] 683 | catch(VectorOutOfRange e) | ^ alignment/AlignmentOutput.cpp: In member function ‘void clustalw::AlignmentOutput::gcgOut(clustalw::Alignment*, clustalw::outputRegion)’: alignment/AlignmentOutput.cpp:878:28: warning: catching polymorphic type ‘class clustalw::VectorOutOfRange’ by value [-Wcatch-value=] 878 | catch(VectorOutOfRange e) | ^ alignment/AlignmentOutput.cpp: In member function ‘void clustalw::AlignmentOutput::phylipOut(clustalw::Alignment*, clustalw::outputRegion)’: alignment/AlignmentOutput.cpp:1037:28: warning: catching polymorphic type ‘class clustalw::VectorOutOfRange’ by value [-Wcatch-value=] 1037 | catch(VectorOutOfRange e) | ^ alignment/AlignmentOutput.cpp: In member function ‘void clustalw::AlignmentOutput::nexusOut(clustalw::Alignment*, clustalw::outputRegion)’: alignment/AlignmentOutput.cpp:1166:28: warning: catching polymorphic type ‘class clustalw::VectorOutOfRange’ by value [-Wcatch-value=] 1166 | catch(VectorOutOfRange e) | ^ alignment/AlignmentOutput.cpp: In member function ‘void clustalw::AlignmentOutput::gdeOut(clustalw::Alignment*, clustalw::outputRegion)’: alignment/AlignmentOutput.cpp:1455:28: warning: catching polymorphic type ‘class clustalw::VectorOutOfRange’ by value [-Wcatch-value=] 1455 | catch(VectorOutOfRange e) | ^ alignment/AlignmentOutput.cpp: In member function ‘void clustalw::AlignmentOutput::nbrfOut(clustalw::Alignment*, clustalw::outputRegion)’: alignment/AlignmentOutput.cpp:1570:28: warning: catching polymorphic type ‘class clustalw::VectorOutOfRange’ by value [-Wcatch-value=] 1570 | catch(VectorOutOfRange e) | ^ alignment/AlignmentOutput.cpp: In member function ‘void clustalw::AlignmentOutput::clustalOut(clustalw::Alignment*, clustalw::outputRegion, ClustalWOutput*)’: alignment/AlignmentOutput.cpp:2153:28: warning: catching polymorphic type ‘class clustalw::VectorOutOfRange’ by value [-Wcatch-value=] 2153 | catch(VectorOutOfRange e) | ^ alignment/AlignmentOutput.cpp:2160:21: warning: catching polymorphic type ‘class std::exception’ by value [-Wcatch-value=] 2160 | catch(exception e) | ^ alignment/AlignmentOutput.cpp: In member function ‘void clustalw::AlignmentOutput::findRangeValues(clustalw::Alignment*, clustalw::rangeNum*, int, int, int)’: alignment/AlignmentOutput.cpp:2410:28: warning: catching polymorphic type ‘class clustalw::VectorOutOfRange’ by value [-Wcatch-value=] 2410 | catch(VectorOutOfRange e) | ^ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c alignment/ObjectiveScore.cpp -o alignment/ObjectiveScore.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c alignment/Sequence.cpp -o alignment/Sequence.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c Clustal.cpp -o Clustal.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c RClustalWMain.cpp -o RClustalWMain.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DHAVE_CONFIG_H -std=c++14 -I. -Wno-deprecated -Wno-unused-result -fpic -g -O2 -Wall -pedantic -mtune=native -c RClustalW.cpp -o RClustalW.o g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o libClustalW.so pairwise/FullPairwiseAlign.o pairwise/FastPairwiseAlign.o fileInput/MSFFileParser.o fileInput/FileReader.o fileInput/PIRFileParser.o fileInput/RSFFileParser.o fileInput/GDEFileParser.o fileInput/InFileStream.o fileInput/ClustalFileParser.o fileInput/PearsonFileParser.o fileInput/FileParser.o fileInput/EMBLFileParser.o tree/UPGMA/RootedClusterTree.o tree/UPGMA/UPGMAAlgorithm.o tree/UPGMA/Node.o tree/UPGMA/RootedGuideTree.o tree/UPGMA/RootedTreeOutput.o tree/Tree.o tree/ClusterTree.o tree/TreeInterface.o tree/UnRootedClusterTree.o tree/ClusterTreeOutput.o tree/RandomGenerator.o tree/NJTree.o tree/AlignmentSteps.o interface/CommandLineParser.o substitutionMatrix/SubMatrix.o multipleAlign/Iteration.o multipleAlign/MSA.o multipleAlign/MyersMillerProfileAlign.o multipleAlign/ProfileStandard.o multipleAlign/ProfileWithSub.o multipleAlign/ProfileBase.o multipleAlign/LowScoreSegProfile.o general/OutputFile.o general/UserParameters.o general/Utility.o general/InvalidCombination.o general/DebugLog.o general/ClustalWResources.o general/VectorOutOfRange.o general/SymMatrix.o general/Stats.o Help.o alignment/Alignment.o alignment/AlignmentOutput.o alignment/ObjectiveScore.o alignment/Sequence.o Clustal.o RClustalWMain.o RClustalW.o -L/home/hornik/tmp/R/lib -lR /usr/bin/ld: multipleAlign/Iteration.o: in function `clustalw::Iteration::removeFirstIterate(clustalw::Alignment*)': /home/hornik/tmp/scratch/Rtmpa55zeB/R.INSTALL34028169d22899/msa/src/ClustalW/src/multipleAlign/Iteration.cpp:231:(.text+0xe19): warning: the use of `tmpnam' is dangerous, better use `mkstemp' make[3]: Leaving directory '/home/hornik/tmp/scratch/Rtmpa55zeB/R.INSTALL34028169d22899/msa/src/ClustalW/src' make[2]: Leaving directory '/home/hornik/tmp/scratch/Rtmpa55zeB/R.INSTALL34028169d22899/msa/src/ClustalW' ---------------------------------------- --------------- ClustalW --------------- ---------------------------------------- --------- Compilation finished --------- ---------------------------------------- make --file=msaMakefile --directory=ClustalOmega make[2]: Entering directory '/home/hornik/tmp/scratch/Rtmpa55zeB/R.INSTALL34028169d22899/msa/src/ClustalOmega' ./configure `/home/hornik/tmp/R/bin/Rscript -e "if (Sys.info()['sysname'] == 'Darwin') cat('--without-openmp')"`; \ export PKG_LIBS=" "; \ export PKG_CXXFLAGS=" `/home/hornik/tmp/R/bin/Rscript -e "if (Sys.info()['sysname'] == 'Darwin') cat('-DMATH_H_CLIB')"` -std=gnu++11 -Fpic -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include"; \ export PKG_CFLAGS=" -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include"; \ cd src; \ /home/hornik/tmp/R/bin/R CMD SHLIB -o libClustalOmega.so exceptions4c/e4c_lite.c argtable2/argtable2.c argtable2/arg_end.c argtable2/arg_rem.c argtable2/arg_lit.c argtable2/arg_int.c argtable2/arg_dbl.c argtable2/arg_str.c argtable2/arg_file.c kmpp/KMeans.cpp kmpp/KmTree.cpp kmpp/KmUtils.cpp clustal/hhalign_wrapper.c clustal/ktuple_pair.c clustal/list.c clustal/log.c clustal/muscle_upgma.c clustal/muscle_tree.c clustal/mbed.c clustal/pair_dist.c clustal/progress.c clustal/seq.c clustal/symmatrix.c clustal/tree.c clustal/util.c clustal/weights.c squid/a2m.c squid/aligneval.c squid/alignio.c squid/clustal.c squid/cluster.c squid/dayhoff.c squid/eps.c squid/file.c squid/getopt.c squid/gki.c squid/gsi.c squid/gsi64.c squid/hsregex.c squid/iupac.c squid/msa.c squid/msf.c squid/phylip.c squid/revcomp.c squid/rk.c squid/selex.c squid/seqencode.c squid/shuffle.c squid/sqerror.c squid/sqio.c squid/squidcore.c squid/sre_ctype.c squid/sre_math.c squid/sre_random.c squid/sre_string.c squid/ssi.c squid/stack.c squid/stockholm.c squid/stopwatch.c squid/translate.c squid/types.c squid/vectorops.c squid/weight.c hhalign/hhalign.cpp RClustalOmega.cpp mymain.c clustal-omega.c && \ ar rcs libClustalOmega.a exceptions4c/e4c_lite.o argtable2/argtable2.o argtable2/arg_end.o argtable2/arg_rem.o argtable2/arg_lit.o argtable2/arg_int.o argtable2/arg_dbl.o argtable2/arg_str.o argtable2/arg_file.o kmpp/KMeans.o kmpp/KmTree.o kmpp/KmUtils.o clustal/hhalign_wrapper.o clustal/ktuple_pair.o clustal/list.o clustal/log.o clustal/muscle_upgma.o clustal/muscle_tree.o clustal/mbed.o clustal/pair_dist.o clustal/progress.o clustal/seq.o clustal/symmatrix.o clustal/tree.o clustal/util.o clustal/weights.o squid/a2m.o squid/aligneval.o squid/alignio.o squid/clustal.o squid/cluster.o squid/dayhoff.o squid/eps.o squid/file.o squid/getopt.o squid/gki.o squid/gsi.o squid/gsi64.o squid/hsregex.o squid/iupac.o squid/msa.o squid/msf.o squid/phylip.o squid/revcomp.o squid/rk.o squid/selex.o squid/seqencode.o squid/shuffle.o squid/sqerror.o squid/sqio.o squid/squidcore.o squid/sre_ctype.o squid/sre_math.o squid/sre_random.o squid/sre_string.o squid/ssi.o squid/stack.o squid/stockholm.o squid/stopwatch.o squid/translate.o squid/types.o squid/vectorops.o squid/weight.o hhalign/hhalign.o RClustalOmega.o mymain.o clustal-omega.o && \ cp libClustalOmega.a ../../ configure: Welcome to Clustal Omega - version 1.2.0 (AndreaGiacomo) +NMMMMMMMMMS= MMMMM? :MMMMM8 IMMMMS MMMMM, ~MMMMN ,MMMMM =MMMMM MMMMM ?MMMMM +MMMMM MMMMMS MMMMM MMMMM MMMMM: MMMMM MMMMM+ MMMMM MMMMM~ MMMMM MMMMM MMMMMZ MMMMM MMMMM ,MMMMZ MMMM8 MMMM+ MMMMS MMMM, MMMMO MMMM ,N SMMM MMM8 +8 ,M7 M+ M+ :M8 ,MMMMMMMMMMMMI MMMMMMMMMMMM8 ,MMMMMMMMMMMM8 MMMMMMMMMMMM8 ,MMMMMMMMMMMMN MMMMMMMMMMMM8 checking for a BSD-compatible install... /usr/bin/install -c checking whether build environment is sane... yes checking for a thread-safe mkdir -p... /usr/bin/mkdir -p checking for gawk... gawk checking whether make sets $(MAKE)... yes checking for style of include used by make... GNU checking for gcc... gcc checking whether the C compiler works... yes checking for C compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether we are using the GNU C compiler... yes checking whether gcc accepts -g... yes checking for gcc option to accept ISO C89... none needed checking dependency style of gcc... gcc3 checking how to run the C preprocessor... gcc -E checking for grep that handles long lines and -e... /usr/bin/grep checking for egrep... /usr/bin/grep -E checking for ANSI C header files... yes checking for sys/types.h... yes checking for sys/stat.h... yes checking for stdlib.h... yes checking for string.h... yes checking for memory.h... yes checking for strings.h... yes checking for inttypes.h... yes checking for stdint.h... yes checking for unistd.h... yes checking minix/config.h usability... no checking minix/config.h presence... no checking for minix/config.h... no checking whether it is safe to define __EXTENSIONS__... yes checking build system type... x86_64-pc-linux-gnu checking host system type... x86_64-pc-linux-gnu checking whether make sets $(MAKE)... (cached) yes checking for a sed that does not truncate output... /usr/bin/sed checking for fgrep... /usr/bin/grep -F checking for ld used by gcc... /usr/bin/x86_64-linux-gnu-ld checking if the linker (/usr/bin/x86_64-linux-gnu-ld) is GNU ld... yes checking for BSD- or MS-compatible name lister (nm)... /usr/bin/nm -B checking the name lister (/usr/bin/nm -B) interface... BSD nm checking whether ln -s works... yes checking the maximum length of command line arguments... 3145728 checking whether the shell understands some XSI constructs... yes checking whether the shell understands "+="... yes checking for /usr/bin/x86_64-linux-gnu-ld option to reload object files... -r checking for objdump... objdump checking how to recognize dependent libraries... pass_all checking for ar... ar checking for strip... strip checking for ranlib... ranlib checking command to parse /usr/bin/nm -B output from gcc object... ok checking for dlfcn.h... yes checking for objdir... .libs checking if gcc supports -fno-rtti -fno-exceptions... no checking for gcc option to produce PIC... -fPIC -DPIC checking if gcc PIC flag -fPIC -DPIC works... yes checking if gcc static flag -static works... yes checking if gcc supports -c -o file.o... yes checking if gcc supports -c -o file.o... (cached) yes checking whether the gcc linker (/usr/bin/x86_64-linux-gnu-ld -m elf_x86_64) supports shared libraries... yes checking whether -lc should be explicitly linked in... no checking dynamic linker characteristics... GNU/Linux ld.so checking how to hardcode library paths into programs... immediate checking whether stripping libraries is possible... yes checking if libtool supports shared libraries... yes checking whether to build shared libraries... yes checking whether to build static libraries... yes checking for gcc... (cached) gcc checking whether we are using the GNU C compiler... (cached) yes checking whether gcc accepts -g... (cached) yes checking for gcc option to accept ISO C89... (cached) none needed checking dependency style of gcc... (cached) gcc3 checking how to run the C preprocessor... gcc -E checking for g++... g++ checking whether we are using the GNU C++ compiler... yes checking whether g++ accepts -g... yes checking dependency style of g++... gcc3 checking whether we are using the GNU C++ compiler... (cached) yes checking whether g++ accepts -g... (cached) yes checking dependency style of g++... (cached) gcc3 checking how to run the C++ preprocessor... g++ -E checking for ld used by g++... /usr/bin/x86_64-linux-gnu-ld -m elf_x86_64 checking if the linker (/usr/bin/x86_64-linux-gnu-ld -m elf_x86_64) is GNU ld... yes checking whether the g++ linker (/usr/bin/x86_64-linux-gnu-ld -m elf_x86_64) supports shared libraries... yes checking for g++ option to produce PIC... -fPIC -DPIC checking if g++ PIC flag -fPIC -DPIC works... yes checking if g++ static flag -static works... yes checking if g++ supports -c -o file.o... yes checking if g++ supports -c -o file.o... (cached) yes checking whether the g++ linker (/usr/bin/x86_64-linux-gnu-ld -m elf_x86_64) supports shared libraries... yes checking dynamic linker characteristics... GNU/Linux ld.so checking how to hardcode library paths into programs... immediate checking how to run the C++ preprocessor... g++ -E checking for ANSI C header files... (cached) yes checking assert.h usability... yes checking assert.h presence... yes checking for assert.h... yes checking ctype.h usability... yes checking ctype.h presence... yes checking for ctype.h... yes checking float.h usability... yes checking float.h presence... yes checking for float.h... yes checking limits.h usability... yes checking limits.h presence... yes checking for limits.h... yes checking math.h usability... yes checking math.h presence... yes checking for math.h... yes checking for memory.h... (cached) yes checking stdarg.h usability... yes checking stdarg.h presence... yes checking for stdarg.h... yes checking stdio.h usability... yes checking stdio.h presence... yes checking for stdio.h... yes checking for stdlib.h... (cached) yes checking for string.h... (cached) yes checking time.h usability... yes checking time.h presence... yes checking for time.h... yes checking for unistd.h... (cached) yes checking for an ANSI C-conforming const... yes checking for size_t... yes checking for inline... inline checking for log in -lm... yes checking for log2 in -lm... yes checking for OpenMP flag of C compiler... -fopenmp checking whether byte ordering is bigendian... no checking for ntohs... yes checking for ntohl... yes checking for ntons... no checking for ntonl... no checking size of unsigned short... 2 checking size of unsigned int... 4 checking size of unsigned long... 8 checking size of unsigned long long... 8 checking for stroul... no checking for strtoull... yes checking for ftello... yes checking for fseeko... yes checking for ftello64... yes checking for fseeko64... yes checking for ftell64... no checking for fseek64... no checking for off_t... yes checking size of fpos_t... 16 checking if malloc debugging is wanted... no checking whether to build with debug information... no configure: creating ./config.status config.status: creating Makefile config.status: creating src/Makefile config.status: creating clustalo.pc config.status: creating Doxyfile config.status: creating src/exceptions4c/Makefile config.status: creating src/clustal/Makefile config.status: creating src/hhalign/Makefile config.status: creating src/kmpp/Makefile config.status: creating src/squid/Makefile config.status: creating src/argtable2/Makefile config.status: creating src/config.h config.status: executing src/clustal-omega-config.h commands config.status: creating src/clustal-omega-config.h - prefix CLUSTAL_OMEGA for src/config.h defines config.status: src/clustal-omega-config.h is unchanged config.status: executing depfiles commands config.status: executing libtool commands using C compiler: ‘gcc-15 (Debian 15.2.0-12) 15.2.0’ using C++ compiler: ‘g++-15 (Debian 15.2.0-12) 15.2.0’ make[3]: Entering directory '/home/hornik/tmp/scratch/Rtmpa55zeB/R.INSTALL34028169d22899/msa/src/ClustalOmega/src' gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c exceptions4c/e4c_lite.c -o exceptions4c/e4c_lite.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c argtable2/argtable2.c -o argtable2/argtable2.o In function ‘arg_cat’, inlined from ‘arg_cat_option’ at argtable2/argtable2.c:654:13, inlined from ‘arg_print_syntax’ at argtable2/argtable2.c:828:9: argtable2/argtable2.c:590:10: warning: writing 1 byte into a region of size 0 [-Wstringop-overflow=] 590 | *dest=0; | ~~~~~^~ argtable2/argtable2.c: In function ‘arg_print_syntax’: argtable2/argtable2.c:818:14: note: at offset 200 into destination object ‘syntax’ of size 200 818 | char syntax[200]=""; | ^~~~~~ In function ‘arg_cat’, inlined from ‘arg_cat_option’ at argtable2/argtable2.c:653:13, inlined from ‘arg_print_syntax’ at argtable2/argtable2.c:828:9: argtable2/argtable2.c:590:10: warning: writing 1 byte into a region of size 0 [-Wstringop-overflow=] 590 | *dest=0; | ~~~~~^~ argtable2/argtable2.c: In function ‘arg_print_syntax’: argtable2/argtable2.c:818:14: note: at offset 200 into destination object ‘syntax’ of size 200 818 | char syntax[200]=""; | ^~~~~~ gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c argtable2/arg_end.c -o argtable2/arg_end.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c argtable2/arg_rem.c -o argtable2/arg_rem.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c argtable2/arg_lit.c -o argtable2/arg_lit.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c argtable2/arg_int.c -o argtable2/arg_int.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c argtable2/arg_dbl.c -o argtable2/arg_dbl.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c argtable2/arg_str.c -o argtable2/arg_str.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c argtable2/arg_file.c -o argtable2/arg_file.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu++11 -Fpic -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -pedantic -mtune=native -c kmpp/KMeans.cpp -o kmpp/KMeans.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu++11 -Fpic -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -pedantic -mtune=native -c kmpp/KmTree.cpp -o kmpp/KmTree.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu++11 -Fpic -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -pedantic -mtune=native -c kmpp/KmUtils.cpp -o kmpp/KmUtils.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c clustal/hhalign_wrapper.c -o clustal/hhalign_wrapper.o In file included from clustal/hhalign_wrapper.c:22: ./config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition clustal/hhalign_wrapper.c: In function ‘SanitiseUnknown’: clustal/hhalign_wrapper.c:85:9: warning: unused variable ‘iLen’ [-Wunused-variable] 85 | int iLen; /* length of sequence */ | ^~~~ clustal/hhalign_wrapper.c:84:9: warning: unused variable ‘iR’ [-Wunused-variable] 84 | int iR; /* iterator for residue */ | ^~ In file included from clustal/seq.h:24, from clustal/hhalign_wrapper.c:31: clustal/hhalign_wrapper.c: In function ‘ReAttachLeadingGaps’: clustal/util.h:31:45: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 31 | #define CKREALLOC(p, b) CkRealloc((p), (b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:292:13: note: in expansion of macro ‘CKREALLOC’ 292 | CKREALLOC(prMSeq->seq[i], iLen+iCutHead+iCutTail+2); | ^~~~~~~~~ clustal/hhalign_wrapper.c:239:9: warning: variable ‘iSize2’ set but not used [-Wunused-but-set-variable] 239 | int iSize2 = 0; /* #seqs in 2nd profile */ | ^~~~~~ clustal/hhalign_wrapper.c:238:9: warning: variable ‘iSize1’ set but not used [-Wunused-but-set-variable] 238 | int iSize1 = 0; /* #seqs in 1st profile */ | ^~~~~~ clustal/hhalign_wrapper.c: In function ‘PrepareAlignment’: clustal/util.h:31:45: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 31 | #define CKREALLOC(p, b) CkRealloc((p), (b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:366:13: note: in expansion of macro ‘CKREALLOC’ 366 | CKREALLOC(mseq->seq[piLeafListL[i]], iMaxLen); | ^~~~~~~~~ clustal/util.h:31:45: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 31 | #define CKREALLOC(p, b) CkRealloc((p), (b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:370:13: note: in expansion of macro ‘CKREALLOC’ 370 | CKREALLOC(mseq->seq[piLeafListR[i]], iMaxLen); | ^~~~~~~~~ clustal/hhalign_wrapper.c: In function ‘HHalignWrapper’: clustal/util.h:30:43: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 30 | #define CKCALLOC(c, s) CkCalloc((c), (s), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:555:31: note: in expansion of macro ‘CKCALLOC’ 555 | prHMM = (hmm_light *) CKCALLOC(1, sizeof(hmm_light)); | ^~~~~~~~ clustal/hhalign_wrapper.c:582:75: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 582 | Log(&rLog, LOG_DEBUG, "Dealigning aligned sequences (inside %s)", __FUNCTION__); | ^~~~~~~~~~~~ clustal/util.h:30:43: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 30 | #define CKCALLOC(c, s) CkCalloc((c), (s), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:593:19: note: in expansion of macro ‘CKCALLOC’ 593 | piLeafCount = CKCALLOC(iNodeCount, sizeof(int)); | ^~~~~~~~ clustal/util.h:30:43: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 30 | #define CKCALLOC(c, s) CkCalloc((c), (s), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:594:19: note: in expansion of macro ‘CKCALLOC’ 594 | ppiLeafList = CKCALLOC(iNodeCount, sizeof(int *)); | ^~~~~~~~ clustal/util.h:30:43: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 30 | #define CKCALLOC(c, s) CkCalloc((c), (s), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:595:19: note: in expansion of macro ‘CKCALLOC’ 595 | ppcProfile1 = CKCALLOC(prMSeq->nseqs*2-1, sizeof(char *)); | ^~~~~~~~ clustal/util.h:30:43: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 30 | #define CKCALLOC(c, s) CkCalloc((c), (s), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:596:19: note: in expansion of macro ‘CKCALLOC’ 596 | ppcProfile2 = CKCALLOC(prMSeq->nseqs*2-1, sizeof(char *)); | ^~~~~~~~ clustal/util.h:30:43: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 30 | #define CKCALLOC(c, s) CkCalloc((c), (s), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:597:19: note: in expansion of macro ‘CKCALLOC’ 597 | pdScores = CKCALLOC(iNodeCount, sizeof(double)); | ^~~~~~~~ clustal/util.h:30:43: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 30 | #define CKCALLOC(c, s) CkCalloc((c), (s), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:598:19: note: in expansion of macro ‘CKCALLOC’ 598 | pdWeightsL = CKCALLOC(iNodeCount, sizeof(double)); | ^~~~~~~~ clustal/util.h:30:43: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 30 | #define CKCALLOC(c, s) CkCalloc((c), (s), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:599:19: note: in expansion of macro ‘CKCALLOC’ 599 | pdWeightsR = CKCALLOC(iNodeCount, sizeof(double)); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:613:33: note: in expansion of macro ‘CKMALLOC’ 613 | ppiLeafList[0] = (int *)CKMALLOC(iSizeProf1 * sizeof(int)); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:618:33: note: in expansion of macro ‘CKMALLOC’ 618 | ppiLeafList[1] = (int *)CKMALLOC(iSizeProf2 * sizeof(int)); | ^~~~~~~~ clustal/util.h:30:43: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 30 | #define CKCALLOC(c, s) CkCalloc((c), (s), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:630:29: note: in expansion of macro ‘CKCALLOC’ 630 | piOrderLR = (int *)CKCALLOC(DIFF_NODE, sizeof(int)); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:659:62: note: in expansion of macro ‘CKMALLOC’ 659 | ppiLeafList[piOrderLR[riAux+PRNT_NODE]] = (int *)CKMALLOC(1 * sizeof(int)); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:686:38: note: in expansion of macro ‘CKMALLOC’ 686 | ppiLeafList[iP] = (int *)CKMALLOC(piLeafCount[iP] * sizeof(int)); | ^~~~~~~~ clustal/util.h:30:43: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 30 | #define CKCALLOC(c, s) CkCalloc((c), (s), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:732:30: note: in expansion of macro ‘CKCALLOC’ 732 | pcReprsnt1 = CKCALLOC(prHMM->L+strlen(ppcProfile1[0])+1, sizeof(char)); | ^~~~~~~~ clustal/util.h:30:43: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 30 | #define CKCALLOC(c, s) CkCalloc((c), (s), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:736:28: note: in expansion of macro ‘CKCALLOC’ 736 | ppcCopy1 = CKCALLOC(piLeafCount[iL], sizeof(char *)); | ^~~~~~~~ clustal/util.h:30:43: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 30 | #define CKCALLOC(c, s) CkCalloc((c), (s), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:738:35: note: in expansion of macro ‘CKCALLOC’ 738 | ppcCopy1[j] = CKCALLOC(prHMM->L+strlen(ppcProfile1[0])+1, sizeof(char)); | ^~~~~~~~ clustal/hhalign_wrapper.c:786:33: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 786 | __FUNCTION__, __FILE__, __LINE__, iHHret, | ^~~~~~~~~~~~ clustal/util.h:30:43: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 30 | #define CKCALLOC(c, s) CkCalloc((c), (s), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:803:30: note: in expansion of macro ‘CKCALLOC’ 803 | pcConsens1 = CKCALLOC(prHMM->L+strlen(ppcProfile1[0])+1, sizeof(char)); | ^~~~~~~~ clustal/util.h:30:43: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 30 | #define CKCALLOC(c, s) CkCalloc((c), (s), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:820:30: note: in expansion of macro ‘CKCALLOC’ 820 | pcReprsnt2 = CKCALLOC(prHMM->L+strlen(ppcProfile2[0])+1, sizeof(char)); | ^~~~~~~~ clustal/util.h:30:43: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 30 | #define CKCALLOC(c, s) CkCalloc((c), (s), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:824:28: note: in expansion of macro ‘CKCALLOC’ 824 | ppcCopy2 = CKCALLOC(piLeafCount[iR], sizeof(char *)); | ^~~~~~~~ clustal/util.h:30:43: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 30 | #define CKCALLOC(c, s) CkCalloc((c), (s), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:826:35: note: in expansion of macro ‘CKCALLOC’ 826 | ppcCopy2[j] = CKCALLOC(prHMM->L+strlen(ppcProfile2[0])+1, sizeof(char)); | ^~~~~~~~ clustal/hhalign_wrapper.c:874:33: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 874 | __FUNCTION__, __FILE__, __LINE__, iHHret, | ^~~~~~~~~~~~ clustal/util.h:30:43: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 30 | #define CKCALLOC(c, s) CkCalloc((c), (s), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:891:30: note: in expansion of macro ‘CKCALLOC’ 891 | pcConsens2 = CKCALLOC(prHMM->L+strlen(ppcProfile2[0])+1, sizeof(char)); | ^~~~~~~~ clustal/hhalign_wrapper.c:948:33: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 948 | __FUNCTION__, __FILE__, __LINE__, piLeafCount[iL], piLeafCount[iR], | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:983:37: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 983 | __FUNCTION__, __FILE__, __LINE__, iHHret, rHhalignPara.iMacRamMB, zcError); | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:987:77: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 987 | fprintf(stderr, "%s:%s:%d: 2nd attempt worked", __FUNCTION__, __FILE__, __LINE__); | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:1010:33: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 1010 | __FUNCTION__, __FILE__, __LINE__, piLeafCount[iL], piLeafCount[iR], | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:1037:37: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 1037 | __FUNCTION__, __FILE__, __LINE__, iHHret, rHhalignPara.iMacRamMB, zcError); | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:1041:77: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 1041 | fprintf(stderr, "%s:%s:%d: 2nd attempt worked", __FUNCTION__, __FILE__, __LINE__); | ^~~~~~~~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:1082:21: note: in expansion of macro ‘CKFREE’ 1082 | CKFREE(ppcCopy1[i]); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:1084:17: note: in expansion of macro ‘CKFREE’ 1084 | CKFREE(ppcCopy1); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:1085:17: note: in expansion of macro ‘CKFREE’ 1085 | CKFREE(pcReprsnt1); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:1086:17: note: in expansion of macro ‘CKFREE’ 1086 | CKFREE(pcConsens1); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:1091:21: note: in expansion of macro ‘CKFREE’ 1091 | CKFREE(ppcCopy2[i]); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:1093:17: note: in expansion of macro ‘CKFREE’ 1093 | CKFREE(ppcCopy2); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:1094:17: note: in expansion of macro ‘CKFREE’ 1094 | CKFREE(pcReprsnt2); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:1095:17: note: in expansion of macro ‘CKFREE’ 1095 | CKFREE(pcConsens2); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:1097:13: note: in expansion of macro ‘CKFREE’ 1097 | CKFREE(ppiLeafList[iL]); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:1099:13: note: in expansion of macro ‘CKFREE’ 1099 | CKFREE(ppiLeafList[iR]); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:1161:9: note: in expansion of macro ‘CKFREE’ 1161 | CKFREE(prHMM); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:1163:5: note: in expansion of macro ‘CKFREE’ 1163 | CKFREE(ppcProfile2); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:1164:5: note: in expansion of macro ‘CKFREE’ 1164 | CKFREE(ppcProfile1); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:1165:5: note: in expansion of macro ‘CKFREE’ 1165 | CKFREE(ppiLeafList[piOrderLR[DIFF_NODE*(iNodeCount-1)+PRNT_NODE]]); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:1166:5: note: in expansion of macro ‘CKFREE’ 1166 | CKFREE(ppiLeafList); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:1167:5: note: in expansion of macro ‘CKFREE’ 1167 | CKFREE(piLeafCount); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:1168:5: note: in expansion of macro ‘CKFREE’ 1168 | CKFREE(pdScores); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:1170:5: note: in expansion of macro ‘CKFREE’ 1170 | CKFREE(pdWeightsL); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/hhalign_wrapper.c:1171:5: note: in expansion of macro ‘CKFREE’ 1171 | CKFREE(pdWeightsR); | ^~~~~~ gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c clustal/ktuple_pair.c -o clustal/ktuple_pair.o In file included from clustal/ktuple_pair.c:29: ./config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition In file included from clustal/ktuple_pair.c:49: clustal/ktuple_pair.c: In function ‘pair_align’: clustal/util.h:30:43: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 30 | #define CKCALLOC(c, s) CkCalloc((c), (s), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/ktuple_pair.c:415:23: note: in expansion of macro ‘CKCALLOC’ 415 | slopes = (char *) CKCALLOC(tl1+1, sizeof(char)); | ^~~~~~~~ clustal/util.h:30:43: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 30 | #define CKCALLOC(c, s) CkCalloc((c), (s), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/ktuple_pair.c:416:21: note: in expansion of macro ‘CKCALLOC’ 416 | displ = (int *) CKCALLOC(tl1+1, sizeof(int)); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/ktuple_pair.c:417:26: note: in expansion of macro ‘CKMALLOC’ 417 | diag_index = (int *) CKMALLOC((tl1+1) * sizeof(int)); | ^~~~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/ktuple_pair.c:606:5: note: in expansion of macro ‘CKFREE’ 606 | CKFREE(displ); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/ktuple_pair.c:607:5: note: in expansion of macro ‘CKFREE’ 607 | CKFREE(slopes); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/ktuple_pair.c:608:5: note: in expansion of macro ‘CKFREE’ 608 | CKFREE(diag_index); | ^~~~~~ clustal/ktuple_pair.c: In function ‘KTuplePairDist’: clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/ktuple_pair.c:667:27: note: in expansion of macro ‘CKMALLOC’ 667 | seqlen_array = (int*) CKMALLOC((mseq->nseqs+1) * sizeof(int)); | ^~~~~~~~ clustal/ktuple_pair.c:685:79: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 685 | Log(&rLog, LOG_FATAL, "Internal error in %s: Unknown sequence type.", __FUNCTION__); | ^~~~~~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/ktuple_pair.c:701:28: note: in expansion of macro ‘CKMALLOC’ 701 | seq_array = (char **) CKMALLOC((mseq->nseqs+1) * sizeof(char *)); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/ktuple_pair.c:707:35: note: in expansion of macro ‘CKMALLOC’ 707 | seq_array[i+1] = (char *) CKMALLOC((seqlen_array[i+1]+2) * sizeof (char));; | ^~~~~~~~ clustal/util.h:30:43: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 30 | #define CKCALLOC(c, s) CkCalloc((c), (s), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/ktuple_pair.c:739:22: note: in expansion of macro ‘CKCALLOC’ 739 | accum = (int **) CKCALLOC(5, sizeof (int *)); | ^~~~~~~~ clustal/util.h:30:43: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 30 | #define CKCALLOC(c, s) CkCalloc((c), (s), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/ktuple_pair.c:741:28: note: in expansion of macro ‘CKCALLOC’ 741 | accum[i] = (int *) CKCALLOC((2*max_aln_length+1), sizeof(int)); | ^~~~~~~~ clustal/util.h:30:43: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 30 | #define CKCALLOC(c, s) CkCalloc((c), (s), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/ktuple_pair.c:743:19: note: in expansion of macro ‘CKCALLOC’ 743 | zza = (int *) CKCALLOC( (max_aln_length+1), sizeof(int)); | ^~~~~~~~ clustal/util.h:30:43: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 30 | #define CKCALLOC(c, s) CkCalloc((c), (s), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/ktuple_pair.c:744:19: note: in expansion of macro ‘CKCALLOC’ 744 | zzb = (int *) CKCALLOC( (max_aln_length+1), sizeof(int)); | ^~~~~~~~ clustal/util.h:30:43: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 30 | #define CKCALLOC(c, s) CkCalloc((c), (s), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/ktuple_pair.c:745:19: note: in expansion of macro ‘CKCALLOC’ 745 | zzc = (int *) CKCALLOC( (max_aln_length+1), sizeof(int)); | ^~~~~~~~ clustal/util.h:30:43: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 30 | #define CKCALLOC(c, s) CkCalloc((c), (s), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/ktuple_pair.c:746:19: note: in expansion of macro ‘CKCALLOC’ 746 | zzd = (int *) CKCALLOC( (max_aln_length+1), sizeof(int)); | ^~~~~~~~ clustal/ktuple_pair.c:762: warning: ignoring ‘#pragma omp critical’ [-Wunknown-pragmas] 762 | #pragma omp critical(ktuple) clustal/ktuple_pair.c:805: warning: ignoring ‘#pragma omp critical’ [-Wunknown-pragmas] 805 | #pragma omp critical(ktuple) clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/ktuple_pair.c:821:9: note: in expansion of macro ‘CKFREE’ 821 | CKFREE(accum[i]); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/ktuple_pair.c:823:5: note: in expansion of macro ‘CKFREE’ 823 | CKFREE(accum); | ^~~~~~ clustal/ktuple_pair.c:826: warning: ignoring ‘#pragma omp critical’ [-Wunknown-pragmas] 826 | #pragma omp critical(ktuple) clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/ktuple_pair.c:834:5: note: in expansion of macro ‘CKFREE’ 834 | CKFREE(zza); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/ktuple_pair.c:835:5: note: in expansion of macro ‘CKFREE’ 835 | CKFREE(zzb); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/ktuple_pair.c:836:5: note: in expansion of macro ‘CKFREE’ 836 | CKFREE(zzc); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/ktuple_pair.c:837:5: note: in expansion of macro ‘CKFREE’ 837 | CKFREE(zzd); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/ktuple_pair.c:842:9: note: in expansion of macro ‘CKFREE’ 842 | CKFREE(seq_array[i]); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/ktuple_pair.c:844:5: note: in expansion of macro ‘CKFREE’ 844 | CKFREE(seq_array); | ^~~~~~ gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c clustal/list.c -o clustal/list.o In file included from clustal/list.c:32: ./config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c clustal/log.c -o clustal/log.o In file included from clustal/log.c:22: ./config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c clustal/muscle_upgma.c -o clustal/muscle_upgma.o In file included from clustal/muscle_upgma.c:53: clustal/muscle_upgma.c: In function ‘MuscleUpgma2’: clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/muscle_upgma.c:260:25: note: in expansion of macro ‘CKMALLOC’ 260 | g_Dist = (dist_t *) CKMALLOC(g_ulTriangleSize * sizeof(dist_t)); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/muscle_upgma.c:262:28: note: in expansion of macro ‘CKMALLOC’ 262 | g_uNodeIndex = (uint*) CKMALLOC(sizeof(uint) * g_uLeafCount); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/muscle_upgma.c:263:34: note: in expansion of macro ‘CKMALLOC’ 263 | g_uNearestNeighbor = (uint*) CKMALLOC(sizeof(uint) * g_uLeafCount); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/muscle_upgma.c:264:28: note: in expansion of macro ‘CKMALLOC’ 264 | g_MinDist = (dist_t *) CKMALLOC(sizeof(dist_t) * g_uLeafCount); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/muscle_upgma.c:265:19: note: in expansion of macro ‘CKMALLOC’ 265 | Ids = (uint*) CKMALLOC(sizeof(uint) * g_uLeafCount); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/muscle_upgma.c:272:24: note: in expansion of macro ‘CKMALLOC’ 272 | g_uLeft = (uint*) CKMALLOC(sizeof(uint) * g_uInternalNodeCount); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/muscle_upgma.c:273:25: note: in expansion of macro ‘CKMALLOC’ 273 | g_uRight = (uint*) CKMALLOC(sizeof(uint) * g_uInternalNodeCount); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/muscle_upgma.c:274:27: note: in expansion of macro ‘CKMALLOC’ 274 | g_Height = (dist_t*) CKMALLOC(sizeof(dist_t) * g_uInternalNodeCount); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/muscle_upgma.c:275:31: note: in expansion of macro ‘CKMALLOC’ 275 | g_LeftLength = (dist_t*) CKMALLOC(sizeof(dist_t) * g_uInternalNodeCount); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/muscle_upgma.c:276:32: note: in expansion of macro ‘CKMALLOC’ 276 | g_RightLength = (dist_t*) CKMALLOC(sizeof(dist_t) * g_uInternalNodeCount); | ^~~~~~~~ gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c clustal/muscle_tree.c -o clustal/muscle_tree.o In file included from clustal/muscle_tree.c:37: clustal/muscle_tree.c: In function ‘FreeMuscleTree’: clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/muscle_tree.c:300:13: note: in expansion of macro ‘CKFREE’ 300 | CKFREE(tree->m_ptrName[i]); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/muscle_tree.c:303:5: note: in expansion of macro ‘CKFREE’ 303 | CKFREE(tree->m_ptrName); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/muscle_tree.c:305:5: note: in expansion of macro ‘CKFREE’ 305 | CKFREE(tree->m_uNeighbor1); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/muscle_tree.c:306:5: note: in expansion of macro ‘CKFREE’ 306 | CKFREE(tree->m_uNeighbor2); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/muscle_tree.c:307:5: note: in expansion of macro ‘CKFREE’ 307 | CKFREE(tree->m_uNeighbor3); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/muscle_tree.c:309:5: note: in expansion of macro ‘CKFREE’ 309 | CKFREE(tree->m_Ids); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/muscle_tree.c:311:5: note: in expansion of macro ‘CKFREE’ 311 | CKFREE(tree->m_dEdgeLength1); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/muscle_tree.c:312:5: note: in expansion of macro ‘CKFREE’ 312 | CKFREE(tree->m_dEdgeLength2); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/muscle_tree.c:313:5: note: in expansion of macro ‘CKFREE’ 313 | CKFREE(tree->m_dEdgeLength3); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/muscle_tree.c:318:5: note: in expansion of macro ‘CKFREE’ 318 | CKFREE(tree->m_bHasEdgeLength1); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/muscle_tree.c:319:5: note: in expansion of macro ‘CKFREE’ 319 | CKFREE(tree->m_bHasEdgeLength2); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/muscle_tree.c:320:5: note: in expansion of macro ‘CKFREE’ 320 | CKFREE(tree->m_bHasEdgeLength3); | ^~~~~~ clustal/muscle_tree.c: In function ‘InitCache’: clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/muscle_tree.c:610:35: note: in expansion of macro ‘CKMALLOC’ 610 | tree->m_uNeighbor1 = (uint *) CKMALLOC(sizeof(uint) * tree->m_uCacheCount); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/muscle_tree.c:611:35: note: in expansion of macro ‘CKMALLOC’ 611 | tree->m_uNeighbor2 = (uint *) CKMALLOC(sizeof(uint) * tree->m_uCacheCount); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/muscle_tree.c:612:35: note: in expansion of macro ‘CKMALLOC’ 612 | tree->m_uNeighbor3 = (uint *) CKMALLOC(sizeof(uint) * tree->m_uCacheCount); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/muscle_tree.c:614:28: note: in expansion of macro ‘CKMALLOC’ 614 | tree->m_Ids = (uint *) CKMALLOC(sizeof(uint) * tree->m_uCacheCount); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/muscle_tree.c:616:39: note: in expansion of macro ‘CKMALLOC’ 616 | tree->m_dEdgeLength1 = (double *) CKMALLOC(sizeof(double) * tree->m_uCacheCount); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/muscle_tree.c:617:39: note: in expansion of macro ‘CKMALLOC’ 617 | tree->m_dEdgeLength2 = (double *) CKMALLOC(sizeof(double) * tree->m_uCacheCount); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/muscle_tree.c:618:39: note: in expansion of macro ‘CKMALLOC’ 618 | tree->m_dEdgeLength3 = (double *) CKMALLOC(sizeof(double) * tree->m_uCacheCount); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/muscle_tree.c:623:40: note: in expansion of macro ‘CKMALLOC’ 623 | tree->m_bHasEdgeLength1 = (bool *) CKMALLOC(sizeof(bool) * tree->m_uCacheCount); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/muscle_tree.c:624:40: note: in expansion of macro ‘CKMALLOC’ 624 | tree->m_bHasEdgeLength2 = (bool *) CKMALLOC(sizeof(bool) * tree->m_uCacheCount); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/muscle_tree.c:625:40: note: in expansion of macro ‘CKMALLOC’ 625 | tree->m_bHasEdgeLength3 = (bool *) CKMALLOC(sizeof(bool) * tree->m_uCacheCount); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/muscle_tree.c:627:33: note: in expansion of macro ‘CKMALLOC’ 627 | tree->m_ptrName = (char **) CKMALLOC(sizeof(char *) * tree->m_uCacheCount); | ^~~~~~~~ clustal/muscle_tree.c: In function ‘ExpandCache’: clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/muscle_tree.c:949:30: note: in expansion of macro ‘CKMALLOC’ 949 | uNewNeighbor1 = (uint *) CKMALLOC( | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/muscle_tree.c:951:30: note: in expansion of macro ‘CKMALLOC’ 951 | uNewNeighbor2 = (uint *) CKMALLOC( | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/muscle_tree.c:953:30: note: in expansion of macro ‘CKMALLOC’ 953 | uNewNeighbor3 = (uint *) CKMALLOC( | ^~~~~~~~ clustal/util.h:30:43: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 30 | #define CKCALLOC(c, s) CkCalloc((c), (s), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/muscle_tree.c:956:24: note: in expansion of macro ‘CKCALLOC’ 956 | uNewIds = (uint *) CKCALLOC( | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/muscle_tree.c:959:34: note: in expansion of macro ‘CKMALLOC’ 959 | dNewEdgeLength1 = (double *) CKMALLOC( | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/muscle_tree.c:961:35: note: in expansion of macro ‘CKMALLOC’ 961 | dNewEdgeLength2 = (double *) CKMALLOC( | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/muscle_tree.c:963:34: note: in expansion of macro ‘CKMALLOC’ 963 | dNewEdgeLength3 = (double *) CKMALLOC( | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/muscle_tree.c:972:35: note: in expansion of macro ‘CKMALLOC’ 972 | bNewHasEdgeLength1 = (bool *) CKMALLOC( | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/muscle_tree.c:974:35: note: in expansion of macro ‘CKMALLOC’ 974 | bNewHasEdgeLength2 = (bool *) CKMALLOC( | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/muscle_tree.c:976:35: note: in expansion of macro ‘CKMALLOC’ 976 | bNewHasEdgeLength3 = (bool *) CKMALLOC( | ^~~~~~~~ clustal/util.h:30:43: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 30 | #define CKCALLOC(c, s) CkCalloc((c), (s), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/muscle_tree.c:978:28: note: in expansion of macro ‘CKCALLOC’ 978 | ptrNewName = (char **) CKCALLOC(uNewCacheCount, sizeof(char*)); | ^~~~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/muscle_tree.c:1028:9: note: in expansion of macro ‘CKFREE’ 1028 | CKFREE(tree->m_ptrName); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/muscle_tree.c:1030:9: note: in expansion of macro ‘CKFREE’ 1030 | CKFREE(tree->m_uNeighbor1); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/muscle_tree.c:1031:9: note: in expansion of macro ‘CKFREE’ 1031 | CKFREE(tree->m_uNeighbor2); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/muscle_tree.c:1032:9: note: in expansion of macro ‘CKFREE’ 1032 | CKFREE(tree->m_uNeighbor3); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/muscle_tree.c:1034:9: note: in expansion of macro ‘CKFREE’ 1034 | CKFREE(tree->m_Ids); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/muscle_tree.c:1036:9: note: in expansion of macro ‘CKFREE’ 1036 | CKFREE(tree->m_dEdgeLength1); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/muscle_tree.c:1037:9: note: in expansion of macro ‘CKFREE’ 1037 | CKFREE(tree->m_dEdgeLength2); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/muscle_tree.c:1038:9: note: in expansion of macro ‘CKFREE’ 1038 | CKFREE(tree->m_dEdgeLength3); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/muscle_tree.c:1040:9: note: in expansion of macro ‘CKFREE’ 1040 | CKFREE(tree->m_bHasEdgeLength1); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/muscle_tree.c:1041:9: note: in expansion of macro ‘CKFREE’ 1041 | CKFREE(tree->m_bHasEdgeLength2); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/muscle_tree.c:1042:9: note: in expansion of macro ‘CKFREE’ 1042 | CKFREE(tree->m_bHasEdgeLength3); | ^~~~~~ clustal/muscle_tree.c: In function ‘AppendBranch’: clustal/muscle_tree.c:1449:43: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 1449 | Log(&rLog, LOG_FATAL, "%s(): %s", __FUNCTION__, "tree has not been created"); | ^~~~~~~~~~~~ clustal/muscle_tree.c: In function ‘GetNeighbor’: clustal/muscle_tree.c:1681:59: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 1681 | Log(&rLog, LOG_FATAL, "Internal error in %s: sub=%u", __FUNCTION__, uNeighborSubscript); | ^~~~~~~~~~~~ clustal/muscle_tree.c: In function ‘AppendTree’: clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/muscle_tree.c:1832:17: note: in expansion of macro ‘CKFREE’ 1832 | CKFREE(prDstTree->m_ptrName[uDstTreeReplaceNodeIndex]); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/muscle_tree.c:1860:17: note: in expansion of macro ‘CKFREE’ 1860 | CKFREE(prDstTree->m_ptrName[uDstTreeReplaceNodeIndex]); | ^~~~~~ clustal/muscle_tree.c: At top level: clustal/muscle_tree.c:519:1: warning: ‘IsEdge’ defined but not used [-Wunused-function] 519 | IsEdge(unsigned uNodeIndex1, unsigned uNodeIndex2, tree_t *tree) | ^~~~~~ clustal/muscle_tree.c:42:21: warning: ‘VERY_NEGATIVE_DOUBLE’ defined but not used [-Wunused-const-variable=] 42 | static const double VERY_NEGATIVE_DOUBLE = -9e29; | ^~~~~~~~~~~~~~~~~~~~ gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c clustal/mbed.c -o clustal/mbed.o In file included from clustal/mbed.c:28: ./config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition In file included from clustal/muscle_tree.h:32, from clustal/mbed.h:22, from clustal/mbed.c:34: clustal/mbed.c: In function ‘FreeKMeansResult’: clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/mbed.c:163:5: note: in expansion of macro ‘CKFREE’ 163 | CKFREE((*prResult_p)->piNObjsPerCluster); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/mbed.c:165:9: note: in expansion of macro ‘CKFREE’ 165 | CKFREE((*prResult_p)->ppiObjIndicesPerCluster[iAux]); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/mbed.c:166:9: note: in expansion of macro ‘CKFREE’ 166 | CKFREE((*prResult_p)->ppdClusterCenters[iAux]); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/mbed.c:168:5: note: in expansion of macro ‘CKFREE’ 168 | CKFREE((*prResult_p)->ppiObjIndicesPerCluster); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/mbed.c:169:5: note: in expansion of macro ‘CKFREE’ 169 | CKFREE((*prResult_p)->ppdClusterCenters); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/mbed.c:172:5: note: in expansion of macro ‘CKFREE’ 172 | CKFREE(*prResult_p); | ^~~~~~ clustal/mbed.c: In function ‘NewKMeansResult’: clustal/util.h:30:43: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 30 | #define CKCALLOC(c, s) CkCalloc((c), (s), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/mbed.c:190:9: note: in expansion of macro ‘CKCALLOC’ 190 | CKCALLOC(1, sizeof(bisecting_kmeans_result_t)); | ^~~~~~~~ clustal/mbed.c: In function ‘SeqToVec’: clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/mbed.c:322:21: note: in expansion of macro ‘CKMALLOC’ 322 | piSortedSeeds = CKMALLOC(iNumSeeds * sizeof(int)); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/mbed.c:339:23: note: in expansion of macro ‘CKMALLOC’ 339 | restore = (int *) CKMALLOC(prMSeq->nseqs * sizeof(int)); | ^~~~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/mbed.c:381:9: note: in expansion of macro ‘CKFREE’ 381 | CKFREE(piSortedSeeds); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/mbed.c:382:9: note: in expansion of macro ‘CKFREE’ 382 | CKFREE(restore); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/mbed.c:448:5: note: in expansion of macro ‘CKFREE’ 448 | CKFREE(piSortedSeeds); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/mbed.c:449:5: note: in expansion of macro ‘CKFREE’ 449 | CKFREE(restore); | ^~~~~~ clustal/mbed.c: In function ‘SeedSelection’: clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/mbed.c:498:9: note: in expansion of macro ‘CKFREE’ 498 | CKFREE(piPermArray); | ^~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/mbed.c:504:26: note: in expansion of macro ‘CKMALLOC’ 504 | int *piSeqLen = CKMALLOC(prMSeq->nseqs * sizeof(int)); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/mbed.c:505:24: note: in expansion of macro ‘CKMALLOC’ 505 | int *piOrder = CKMALLOC(prMSeq->nseqs * sizeof(int)); | ^~~~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/mbed.c:525:9: note: in expansion of macro ‘CKFREE’ 525 | CKFREE(piSeqLen); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/mbed.c:530:9: note: in expansion of macro ‘CKFREE’ 530 | CKFREE(piOrder); | ^~~~~~ clustal/mbed.c: In function ‘BisectingKmeans’: clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/mbed.c:691:32: note: in expansion of macro ‘CKMALLOC’ 691 | piCurObjToUpdate = (int *) CKMALLOC(2 * sizeof(int)); | ^~~~~~~~ clustal/util.h:30:43: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 30 | #define CKCALLOC(c, s) CkCalloc((c), (s), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/mbed.c:697:36: note: in expansion of macro ‘CKCALLOC’ 697 | pdKClusterCenters = (double *) CKCALLOC(2 * iDim, sizeof(double)); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/mbed.c:705:21: note: in expansion of macro ‘CKMALLOC’ 705 | (double **) CKMALLOC(1 * sizeof(double *)); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/mbed.c:707:20: note: in expansion of macro ‘CKMALLOC’ 707 | (double *) CKMALLOC(iDim * sizeof(double)); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/mbed.c:710:17: note: in expansion of macro ‘CKMALLOC’ 710 | (int *) CKMALLOC(1 * sizeof(int)); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/mbed.c:714:18: note: in expansion of macro ‘CKMALLOC’ 714 | (int **) CKMALLOC(1 * sizeof(int *)); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/mbed.c:716:9: note: in expansion of macro ‘CKMALLOC’ 716 | CKMALLOC(iNObjs * sizeof(int)); | ^~~~~~~~ clustal/util.h:31:45: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 31 | #define CKREALLOC(p, b) CkRealloc((p), (b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/mbed.c:739:45: note: in expansion of macro ‘CKREALLOC’ 739 | *ppcClusterSplits_p = (char **)CKREALLOC(*ppcClusterSplits_p, iNObjs*sizeof(char *)); | ^~~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/mbed.c:740:45: note: in expansion of macro ‘CKMALLOC’ 740 | (*ppcClusterSplits_p)[0] = (char *)CKMALLOC(iNObjs*iLog2N2); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/mbed.c:806:13: note: in expansion of macro ‘CKMALLOC’ 806 | CKMALLOC(iNObjsInClusterToSplit * sizeof(int)); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/mbed.c:809:13: note: in expansion of macro ‘CKMALLOC’ 809 | CKMALLOC(iNObjsInClusterToSplit * iDim * sizeof(double)); | ^~~~~~~~ clustal/mbed.c:920:30: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 920 | __FUNCTION__, | ^~~~~~~~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/mbed.c:938:13: note: in expansion of macro ‘CKFREE’ 938 | CKFREE(piKClusterAssignments); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/mbed.c:939:13: note: in expansion of macro ‘CKFREE’ 939 | CKFREE(pdVectorsInClusterToSplit); | ^~~~~~ clustal/util.h:31:45: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 31 | #define CKREALLOC(p, b) CkRealloc((p), (b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/mbed.c:956:13: note: in expansion of macro ‘CKREALLOC’ 956 | CKREALLOC((*prKMeansResult_p)->ppdClusterCenters, | ^~~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/mbed.c:959:13: note: in expansion of macro ‘CKMALLOC’ 959 | CKMALLOC(iDim * sizeof(double)); | ^~~~~~~~ clustal/util.h:31:45: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 31 | #define CKREALLOC(p, b) CkRealloc((p), (b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/mbed.c:982:13: note: in expansion of macro ‘CKREALLOC’ 982 | CKREALLOC((*prKMeansResult_p)->piNObjsPerCluster, | ^~~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/mbed.c:1025:46: note: in expansion of macro ‘CKMALLOC’ 1025 | piObjIndicesOfSplitCluster = (int *) CKMALLOC(iNObjsInClusterToSplit * sizeof(int)); | ^~~~~~~~ clustal/util.h:31:45: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 31 | #define CKREALLOC(p, b) CkRealloc((p), (b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/mbed.c:1031:13: note: in expansion of macro ‘CKREALLOC’ 1031 | CKREALLOC((*prKMeansResult_p)->ppiObjIndicesPerCluster, | ^~~~~~~~~ clustal/util.h:31:45: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 31 | #define CKREALLOC(p, b) CkRealloc((p), (b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/mbed.c:1036:21: note: in expansion of macro ‘CKREALLOC’ 1036 | (int *) CKREALLOC((*prKMeansResult_p)->ppiObjIndicesPerCluster[iClusterToSplot], | ^~~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/mbed.c:1040:21: note: in expansion of macro ‘CKMALLOC’ 1040 | (int *) CKMALLOC((*prKMeansResult_p)->piNObjsPerCluster[iNewClusterIdx] * sizeof(int)); | ^~~~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/mbed.c:1075:9: note: in expansion of macro ‘CKFREE’ 1075 | CKFREE(piObjIndicesOfSplitCluster); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/mbed.c:1100:9: note: in expansion of macro ‘CKFREE’ 1100 | CKFREE(piKClusterAssignments); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/mbed.c:1101:9: note: in expansion of macro ‘CKFREE’ 1101 | CKFREE(pdVectorsInClusterToSplit); | ^~~~~~ clustal/mbed.c:786:16: warning: variable ‘dCost’ set but not used [-Wunused-but-set-variable] 786 | double dCost = -1.0; | ^~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/mbed.c:1117:5: note: in expansion of macro ‘CKFREE’ 1117 | CKFREE(pdKClusterCenters); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/mbed.c:1118:5: note: in expansion of macro ‘CKFREE’ 1118 | CKFREE(piCurObjToUpdate); | ^~~~~~ clustal/mbed.c: In function ‘Mbed’: clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/mbed.c:1213:23: note: in expansion of macro ‘CKMALLOC’ 1213 | piSeeds = (int *) CKMALLOC(iNumSeeds * sizeof(int)); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/mbed.c:1218:29: note: in expansion of macro ‘CKMALLOC’ 1218 | ppdSeqVec = (double **) CKMALLOC(prMSeq->nseqs * sizeof(double *)); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/mbed.c:1220:36: note: in expansion of macro ‘CKMALLOC’ 1220 | ppdSeqVec[iI] = (double *) CKMALLOC(iNumSeeds * sizeof(double)); | ^~~~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/mbed.c:1226:5: note: in expansion of macro ‘CKFREE’ 1226 | CKFREE(piSeeds); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/mbed.c:1277:9: note: in expansion of macro ‘CKFREE’ 1277 | CKFREE(ppcClusterSplits[0]); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/mbed.c:1278:9: note: in expansion of macro ‘CKFREE’ 1278 | CKFREE(ppcClusterSplits); | ^~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/mbed.c:1335:27: note: in expansion of macro ‘CKMALLOC’ 1335 | ppcLabels = (char **) CKMALLOC(prKMeansResult->iNClusters * sizeof(char*)); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/mbed.c:1337:34: note: in expansion of macro ‘CKMALLOC’ 1337 | ppcLabels[iI] = (char *) CKMALLOC(32 * sizeof(char)); | ^~~~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/mbed.c:1349:9: note: in expansion of macro ‘CKFREE’ 1349 | CKFREE(ppcLabels[iI]); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/mbed.c:1351:5: note: in expansion of macro ‘CKFREE’ 1351 | CKFREE(ppcLabels); | ^~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/mbed.c:1375:9: note: in expansion of macro ‘CKMALLOC’ 1375 | CKMALLOC(prKMeansResult->iNClusters * sizeof(int)); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/mbed.c:1445:13: note: in expansion of macro ‘CKMALLOC’ 1445 | CKMALLOC(prSubClusterMSeq->nseqs * sizeof(char *)); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/mbed.c:1447:13: note: in expansion of macro ‘CKMALLOC’ 1447 | CKMALLOC(prSubClusterMSeq->nseqs * sizeof(char *)); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/mbed.c:1449:13: note: in expansion of macro ‘CKMALLOC’ 1449 | CKMALLOC(prSubClusterMSeq->nseqs * sizeof(SQINFO)); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/mbed.c:1530:30: note: in expansion of macro ‘CKMALLOC’ 1530 | ppcLabels = (char**) CKMALLOC(iNSeqInCluster * sizeof(char*)); | ^~~~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/mbed.c:1549:9: note: in expansion of macro ‘CKFREE’ 1549 | CKFREE(ppcLabels); /* don't free members, they just point */ | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/mbed.c:1643:9: note: in expansion of macro ‘CKFREE’ 1643 | CKFREE(ppdSeqVec[iI]); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/mbed.c:1645:5: note: in expansion of macro ‘CKFREE’ 1645 | CKFREE(ppdSeqVec); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/mbed.c:1646:5: note: in expansion of macro ‘CKFREE’ 1646 | CKFREE(piClusterToTreeNode); | ^~~~~~ clustal/mbed.c: At top level: clustal/mbed.c:69:18: warning: ‘MAX_ALLOWED_SEQ_PER_PRECLUSTER’ defined but not used [-Wunused-const-variable=] 69 | static const int MAX_ALLOWED_SEQ_PER_PRECLUSTER = 100; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c clustal/pair_dist.c -o clustal/pair_dist.o In file included from clustal/pair_dist.c:22: ./config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition clustal/pair_dist.c: In function ‘KimuraCorrection’: clustal/pair_dist.c:137:68: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 137 | Log(&rLog, LOG_FATAL, "Internal error in %s:%s", __FILE__, __FUNCTION__); | ^~~~~~~~~~~~ clustal/pair_dist.c: In function ‘SquidIdPairDist’: clustal/pair_dist.c:185:68: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 185 | Log(&rLog, LOG_ERROR, "Sequences need to be aligned (%s)", __FUNCTION__); | ^~~~~~~~~~~~ clustal/pair_dist.c:206: warning: ignoring ‘#pragma omp critical’ [-Wunknown-pragmas] 206 | #pragma omp critical(squidid) clustal/pair_dist.c:218: warning: ignoring ‘#pragma omp atomic’ [-Wunknown-pragmas] 218 | #pragma omp atomic clustal/pair_dist.c:228: warning: ignoring ‘#pragma omp critical’ [-Wunknown-pragmas] 228 | #pragma omp critical(squidid) clustal/pair_dist.c:177:10: warning: unused variable ‘bPrintCR’ [-Wunused-variable] 177 | bool bPrintCR = (rLog.iLogLevelEnabled<=LOG_VERBOSE) ? FALSE : TRUE; | ^~~~~~~~ clustal/pair_dist.c: In function ‘PairDistances’: clustal/pair_dist.c:336: warning: ignoring ‘#pragma omp parallel’ [-Wunknown-pragmas] 336 | #pragma omp parallel for private(iChunk) schedule(dynamic) clustal/pair_dist.c:359: warning: ignoring ‘#pragma omp parallel’ [-Wunknown-pragmas] 359 | #pragma omp parallel for private(iChunk) schedule(dynamic) clustal/pair_dist.c:376: warning: ignoring ‘#pragma omp parallel’ [-Wunknown-pragmas] 376 | #pragma omp parallel for private(iChunk) schedule(dynamic) In file included from clustal/../clustal-omega.h:43, from clustal/pair_dist.c:31: clustal/../clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/pair_dist.c:400:26: note: in expansion of macro ‘CKMALLOC’ 400 | names = (char **)CKMALLOC(mseq->nseqs * sizeof(char*)); | ^~~~~~~~ clustal/../clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/pair_dist.c:409:9: note: in expansion of macro ‘CKFREE’ 409 | CKFREE(names); | ^~~~~~ gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c clustal/progress.c -o clustal/progress.o In file included from clustal/progress.c:22: ./config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition In file included from clustal/progress.c:29: clustal/progress.c: In function ‘NewProgress’: clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/progress.c:61:37: note: in expansion of macro ‘CKMALLOC’ 61 | (*pprProgress) = (progress_t *) CKMALLOC(1*sizeof(progress_t)); | ^~~~~~~~ clustal/progress.c: In function ‘FreeProgress’: clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/progress.c:89:5: note: in expansion of macro ‘CKFREE’ 89 | CKFREE((*pprProgress)->pcPrefix); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/progress.c:92:5: note: in expansion of macro ‘CKFREE’ 92 | CKFREE(*pprProgress); | ^~~~~~ gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c clustal/seq.c -o clustal/seq.o In file included from clustal/seq.c:30: ./config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition clustal/seq.c: In function ‘AliStat’: clustal/seq.c:81:77: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 81 | "Cannot report all and sample at the same time. Skipping %s()", __FUNCTION__); | ^~~~~~~~~~~~ clustal/seq.c:86:57: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 86 | "Sequences are not aligned. Skipping %s()", __FUNCTION__); | ^~~~~~~~~~~~ clustal/seq.c:68:9: warning: unused variable ‘iAux’ [-Wunused-variable] 68 | int iAux; | ^~~~ In file included from clustal/seq.c:37: clustal/seq.c: In function ‘ShuffleMSeq’: clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/seq.c:244:5: note: in expansion of macro ‘CKFREE’ 244 | CKFREE(piPermArray); | ^~~~~~ clustal/seq.c: In function ‘SeqTypeToStr’: clustal/seq.c:388:55: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 388 | Log(&rLog, LOG_FATAL, "Internal error in %s", __FUNCTION__); | ^~~~~~~~~~~~ clustal/seq.c: In function ‘ReadSequences’: clustal/util.h:31:45: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 31 | #define CKREALLOC(p, b) CkRealloc((p), (b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/seq.c:487:13: note: in expansion of macro ‘CKREALLOC’ 487 | CKREALLOC(prMSeq->seq, (prMSeq->nseqs+1) * sizeof(char *)); | ^~~~~~~~~ clustal/util.h:31:45: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 31 | #define CKREALLOC(p, b) CkRealloc((p), (b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/seq.c:492:13: note: in expansion of macro ‘CKREALLOC’ 492 | CKREALLOC(prMSeq->sqinfo, (prMSeq->nseqs+1) * sizeof(SQINFO)); | ^~~~~~~~~ clustal/seq.c:518:63: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 518 | Log(&rLog, LOG_FATAL, "Internal error in %s", __FUNCTION__); | ^~~~~~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/seq.c:570:33: note: in expansion of macro ‘CKMALLOC’ 570 | prMSeq->orig_seq = (char**) CKMALLOC(prMSeq->nseqs * sizeof(char *)); | ^~~~~~~~ clustal/seq.c: In function ‘ReadSequencesFromR’: clustal/util.h:31:45: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 31 | #define CKREALLOC(p, b) CkRealloc((p), (b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/seq.c:682:13: note: in expansion of macro ‘CKREALLOC’ 682 | CKREALLOC(prMSeq->seq, (prMSeq->nseqs+1) * sizeof(char *)); | ^~~~~~~~~ clustal/util.h:31:45: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 31 | #define CKREALLOC(p, b) CkRealloc((p), (b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/seq.c:687:13: note: in expansion of macro ‘CKREALLOC’ 687 | CKREALLOC(prMSeq->sqinfo, (prMSeq->nseqs+1) * sizeof(SQINFO)); | ^~~~~~~~~ clustal/seq.c:714:63: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 714 | Log(&rLog, LOG_FATAL, "Internal error in %s", __FUNCTION__); | ^~~~~~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/seq.c:762:33: note: in expansion of macro ‘CKMALLOC’ 762 | prMSeq->orig_seq = (char**) CKMALLOC(prMSeq->nseqs * sizeof(char *)); | ^~~~~~~~ clustal/seq.c: In function ‘NewMSeq’: clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/seq.c:830:26: note: in expansion of macro ‘CKMALLOC’ 830 | *prMSeq = (mseq_t *) CKMALLOC(1 * sizeof(mseq_t)); | ^~~~~~~~ clustal/seq.c: In function ‘CopyMSeq’: clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/seq.c:870:9: note: in expansion of macro ‘CKMALLOC’ 870 | CKMALLOC((*prMSeqDest_p)->nseqs * sizeof(char *)); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/seq.c:872:9: note: in expansion of macro ‘CKMALLOC’ 872 | CKMALLOC((*prMSeqDest_p)->nseqs * sizeof(char *)); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/seq.c:874:9: note: in expansion of macro ‘CKMALLOC’ 874 | CKMALLOC((*prMSeqDest_p)->nseqs * sizeof(SQINFO)); | ^~~~~~~~ clustal/seq.c: In function ‘FreeRSeq’: clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/seq.c:944:17: note: in expansion of macro ‘CKFREE’ 944 | CKFREE((*mseq)->filename); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/seq.c:950:9: note: in expansion of macro ‘CKFREE’ 950 | CKFREE((*mseq)->orig_seq[i]); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/seq.c:953:9: note: in expansion of macro ‘CKFREE’ 953 | CKFREE((*mseq)->seq); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/seq.c:956:9: note: in expansion of macro ‘CKFREE’ 956 | CKFREE((*mseq)->orig_seq); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/seq.c:959:9: note: in expansion of macro ‘CKFREE’ 959 | CKFREE((*mseq)->sqinfo); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/seq.c:964:9: note: in expansion of macro ‘CKFREE’ 964 | CKFREE((*mseq)->tree_order); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/seq.c:970:5: note: in expansion of macro ‘CKFREE’ 970 | CKFREE((*mseq)); | ^~~~~~ clustal/seq.c: In function ‘SortMSeqByLength’: clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/seq.c:1180:24: note: in expansion of macro ‘CKMALLOC’ 1180 | piSeqLen = (int *) CKMALLOC(prMSeq->nseqs * sizeof(int)); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/seq.c:1181:23: note: in expansion of macro ‘CKMALLOC’ 1181 | piOrder = (int *) CKMALLOC(prMSeq->nseqs * sizeof(int)); | ^~~~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/seq.c:1191:9: note: in expansion of macro ‘CKFREE’ 1191 | CKFREE(prMSeq->seq[iSeqIndex]); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/seq.c:1194:9: note: in expansion of macro ‘CKFREE’ 1194 | CKFREE(prMSeq->orig_seq[iSeqIndex]); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/seq.c:1200:5: note: in expansion of macro ‘CKFREE’ 1200 | CKFREE(piSeqLen); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/seq.c:1201:5: note: in expansion of macro ‘CKFREE’ 1201 | CKFREE(piOrder); | ^~~~~~ clustal/seq.c: In function ‘AddSeq’: clustal/util.h:31:45: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 31 | #define CKREALLOC(p, b) CkRealloc((p), (b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/seq.c:1311:9: note: in expansion of macro ‘CKREALLOC’ 1311 | CKREALLOC((*prMSeqDest_p)->seq, (iSeqIdx+1) * sizeof(char *)); | ^~~~~~~~~ clustal/util.h:31:45: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 31 | #define CKREALLOC(p, b) CkRealloc((p), (b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/seq.c:1313:9: note: in expansion of macro ‘CKREALLOC’ 1313 | CKREALLOC((*prMSeqDest_p)->orig_seq, (iSeqIdx+1) * sizeof(char *)); | ^~~~~~~~~ clustal/util.h:31:45: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 31 | #define CKREALLOC(p, b) CkRealloc((p), (b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/seq.c:1315:9: note: in expansion of macro ‘CKREALLOC’ 1315 | CKREALLOC((*prMSeqDest_p)->sqinfo, (iSeqIdx+1) * sizeof(SQINFO)); | ^~~~~~~~~ clustal/seq.c: In function ‘JoinMSeqs’: clustal/util.h:31:45: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 31 | #define CKREALLOC(p, b) CkRealloc((p), (b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/seq.c:1383:9: note: in expansion of macro ‘CKREALLOC’ 1383 | CKREALLOC((*prMSeqDest_p)->seq, iNewNSeq * sizeof(char *)); | ^~~~~~~~~ clustal/util.h:31:45: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 31 | #define CKREALLOC(p, b) CkRealloc((p), (b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/seq.c:1386:9: note: in expansion of macro ‘CKREALLOC’ 1386 | CKREALLOC((*prMSeqDest_p)->orig_seq, iNewNSeq * sizeof(char *)); | ^~~~~~~~~ clustal/util.h:31:45: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 31 | #define CKREALLOC(p, b) CkRealloc((p), (b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/seq.c:1389:9: note: in expansion of macro ‘CKREALLOC’ 1389 | CKREALLOC((*prMSeqDest_p)->sqinfo, iNewNSeq * sizeof(SQINFO)); | ^~~~~~~~~ gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c clustal/symmatrix.c -o clustal/symmatrix.o In file included from clustal/symmatrix.c:30: ./config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition clustal/symmatrix.c: In function ‘NewSymMatrix’: clustal/symmatrix.c:78:27: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 78 | __FILE__, __FUNCTION__); | ^~~~~~~~~~~~ clustal/symmatrix.c:85:27: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 85 | __FILE__, __FUNCTION__); | ^~~~~~~~~~~~ clustal/symmatrix.c:94:31: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 94 | __FILE__, __FUNCTION__); | ^~~~~~~~~~~~ clustal/symmatrix.c: In function ‘SymMatrixRead’: clustal/symmatrix.c:377:27: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 377 | __FILE__, __FUNCTION__, __LINE__); | ^~~~~~~~~~~~ gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c clustal/tree.c -o clustal/tree.o In file included from clustal/tree.c:22: ./config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition In file included from clustal/tree.c:29: clustal/tree.c: In function ‘GuideTreeUpgma’: clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/tree.c:67:26: note: in expansion of macro ‘CKMALLOC’ 67 | (*tree) = (tree_t *) CKMALLOC(1 * sizeof(tree_t)); | ^~~~~~~~ clustal/tree.c: In function ‘GuideTreeFromFile’: clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/tree.c:104:26: note: in expansion of macro ‘CKMALLOC’ 104 | (*tree) = (tree_t *) CKMALLOC(1 * sizeof(tree_t)); | ^~~~~~~~ clustal/tree.c: In function ‘TraverseTree’: clustal/util.h:30:43: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 30 | #define CKCALLOC(c, s) CkCalloc((c), (s), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/tree.c:180:27: note: in expansion of macro ‘CKCALLOC’ 180 | *piOrderLR_p = (int *)CKCALLOC(DIFF_NODE * GetNodeCount(tree), sizeof(int)); | ^~~~~~~~ gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c clustal/util.c -o clustal/util.o In file included from clustal/util.c:22: ./config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition In file included from clustal/util.c:32: clustal/util.c: In function ‘CkStrdup’: clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/util.c:213:19: note: in expansion of macro ‘CKMALLOC’ 213 | cp = (char *) CKMALLOC(strlen(src) +1); | ^~~~~~~~ clustal/util.c: In function ‘PermutationArray’: clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/util.c:244:23: note: in expansion of macro ‘CKMALLOC’ 244 | (*perm) = (int *) CKMALLOC(len * sizeof(int)); | ^~~~~~~~ clustal/util.c: In function ‘RandomUniqueIntArray’: clustal/util.h:30:43: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 30 | #define CKCALLOC(c, s) CkCalloc((c), (s), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/util.c:300:24: note: in expansion of macro ‘CKCALLOC’ 300 | is_used = (bool *) CKCALLOC(max_value, sizeof(bool)); | ^~~~~~~~ clustal/util.c: In function ‘QSortAndTrackIndex’: clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/util.c:417:34: note: in expansion of macro ‘CKMALLOC’ 417 | prSort = (sortwithindex_t *) CKMALLOC(iArrayLen * sizeof(sortwithindex_t)); | ^~~~~~~~ gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c clustal/weights.c -o clustal/weights.o In file included from clustal/weights.c:72: ./config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition In file included from clustal/muscle_tree.h:32, from clustal/weights.c:77: clustal/weights.c: In function ‘CalcClustalWeights’: clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/weights.c:205:33: note: in expansion of macro ‘CKMALLOC’ 205 | (*pdWeights_p) = (double *) CKMALLOC(uNodeCount * sizeof(double)); | ^~~~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/weights.c:220:9: note: in expansion of macro ‘CKFREE’ 220 | CKFREE(pdWeights_p); | ^~~~~~ clustal/util.h:30:43: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 30 | #define CKCALLOC(c, s) CkCalloc((c), (s), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/weights.c:233:34: note: in expansion of macro ‘CKCALLOC’ 233 | puLeavesUnderNode = (uint *) CKCALLOC(uNodeCount, sizeof(uint)); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal/weights.c:246:30: note: in expansion of macro ‘CKMALLOC’ 246 | pdStrengths = (double *) CKMALLOC(uNodeCount * sizeof(double)); | ^~~~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/weights.c:332:5: note: in expansion of macro ‘CKFREE’ 332 | CKFREE(puLeavesUnderNode); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal/weights.c:333:5: note: in expansion of macro ‘CKFREE’ 333 | CKFREE(pdStrengths); | ^~~~~~ gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c squid/a2m.c -o squid/a2m.o In file included from squid/squid.h:32, from squid/a2m.c:20: squid/../config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition squid/a2m.c: In function ‘WriteA2M’: squid/a2m.c:113:9: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 113 | __FUNCTION__, __FILE__, __LINE__, cpl+20); | ^~~~~~~~~~~~ gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c squid/aligneval.c -o squid/aligneval.o In file included from squid/squid.h:32, from squid/aligneval.c:59: squid/../config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c squid/alignio.c -o squid/alignio.o In file included from squid/squid.h:32, from squid/alignio.c:21: squid/../config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c squid/clustal.c -o squid/clustal.o In file included from squid/squid.h:32, from squid/clustal.c:24: squid/../config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition squid/clustal.c: In function ‘WriteClustal’: squid/clustal.c:226:11: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 226 | __FUNCTION__, __FILE__, __LINE__, msa->nseq); | ^~~~~~~~~~~~ squid/clustal.c:235:9: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 235 | __FUNCTION__, __FILE__, __LINE__, cpl+20); | ^~~~~~~~~~~~ squid/clustal.c:214:7: warning: unused variable ‘cons’ [-Wunused-variable] 214 | int cons; | ^~~~ squid/clustal.c: In function ‘WriteClustalForR’: squid/clustal.c:450:41: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 450 | __FUNCTION__, __FILE__, __LINE__, msa->nseq); | ^~~~~~~~~~~~ squid/clustal.c:459:33: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 459 | __FUNCTION__, __FILE__, __LINE__, cpl+20); | ^~~~~~~~~~~~ squid/clustal.c:438:13: warning: unused variable ‘cons’ [-Wunused-variable] 438 | int cons; | ^~~~ gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c squid/cluster.c -o squid/cluster.o In file included from squid/squid.h:32, from squid/cluster.c:124: squid/../config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c squid/dayhoff.c -o squid/dayhoff.o In file included from squid/squid.h:32, from squid/dayhoff.c:28: squid/../config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c squid/eps.c -o squid/eps.o In file included from squid/squid.h:32, from squid/eps.c:23: squid/../config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c squid/file.c -o squid/file.o In file included from squid/squid.h:32, from squid/file.c:28: squid/../config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c squid/getopt.c -o squid/getopt.o In file included from squid/squid.h:32, from squid/getopt.c:17: squid/../config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c squid/gki.c -o squid/gki.o In file included from squid/squid.h:32, from squid/gki.c:82: squid/../config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c squid/gsi.c -o squid/gsi.o In file included from squid/squid.h:32, from squid/gsi.c:35: squid/../config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c squid/gsi64.c -o squid/gsi64.o squid/gsi64.c:395: warning: ISO C forbids an empty translation unit [-Wpedantic] gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c squid/hsregex.c -o squid/hsregex.o In file included from squid/squid.h:32, from squid/hsregex.c:33: squid/../config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c squid/iupac.c -o squid/iupac.o In file included from squid/squid.h:32, from squid/iupac.c:17: squid/../config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c squid/msa.c -o squid/msa.o In file included from squid/squid.h:32, from squid/msa.c:22: squid/../config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c squid/msf.c -o squid/msf.o In file included from squid/squid.h:32, from squid/msf.c:25: squid/../config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition squid/msf.c: In function ‘ReadMSF’: squid/msf.c:87:11: warning: variable ‘alleged_checksum’ set but not used [-Wunused-but-set-variable] 87 | int alleged_checksum; | ^~~~~~~~~~~~~~~~ squid/msf.c:85:11: warning: variable ‘alleged_alen’ set but not used [-Wunused-but-set-variable] 85 | int alleged_alen; | ^~~~~~~~~~~~ gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c squid/phylip.c -o squid/phylip.o In file included from squid/squid.h:32, from squid/phylip.c:23: squid/../config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition squid/phylip.c: In function ‘ReadPhylip’: squid/phylip.c:80:15: warning: variable ‘alen’ set but not used [-Wunused-but-set-variable] 80 | int nseq, alen; | ^~~~ gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c squid/revcomp.c -o squid/revcomp.o In file included from squid/squid.h:32, from squid/revcomp.c:19: squid/../config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c squid/rk.c -o squid/rk.o In file included from squid/squid.h:32, from squid/rk.c:26: squid/../config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c squid/selex.c -o squid/selex.o In file included from squid/squid.h:32, from squid/selex.c:43: squid/../config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c squid/seqencode.c -o squid/seqencode.o In file included from squid/squid.h:32, from squid/seqencode.c:18: squid/../config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c squid/shuffle.c -o squid/shuffle.o In file included from squid/squid.h:32, from squid/shuffle.c:42: squid/../config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c squid/sqerror.c -o squid/sqerror.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c squid/sqio.c -o squid/sqio.o In file included from squid/squid.h:32, from squid/sqio.c:57: squid/../config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c squid/squidcore.c -o squid/squidcore.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c squid/sre_ctype.c -o squid/sre_ctype.o In file included from squid/squid.h:32, from squid/sre_ctype.c:19: squid/../config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c squid/sre_math.c -o squid/sre_math.o In file included from squid/squid.h:32, from squid/sre_math.c:19: squid/../config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c squid/sre_random.c -o squid/sre_random.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c squid/sre_string.c -o squid/sre_string.o In file included from squid/squid.h:32, from squid/sre_string.c:23: squid/../config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c squid/ssi.c -o squid/ssi.o In file included from squid/squid.h:32, from squid/ssi.c:16: squid/../config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition squid/ssi.c: In function ‘SSIAddPrimaryKeyToIndex’: squid/ssi.c:751:26: warning: format ‘%lu’ expects argument of type ‘long unsigned int’, but argument 5 has type ‘long long unsigned int’ [-Wformat=] 751 | fprintf(g->ptmp, "%s\t%d\t%" PRIu64 "\t%" PRIu64 "\t%lu\n", | ^~~~~~~~~~~ 752 | key, fh, (unsigned long long)r_off->off.i64, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | | | long long unsigned int In file included from squid/ssi.c:20: /usr/include/inttypes.h:105:41: note: format string is defined here 105 | # define PRIu64 __PRI64_PREFIX "u" squid/ssi.c:751:26: warning: format ‘%lu’ expects argument of type ‘long unsigned int’, but argument 6 has type ‘long long unsigned int’ [-Wformat=] 751 | fprintf(g->ptmp, "%s\t%d\t%" PRIu64 "\t%" PRIu64 "\t%lu\n", | ^~~~~~~~~~~ 752 | key, fh, (unsigned long long)r_off->off.i64, 753 | d_off == NULL ? 0 : (unsigned long long) d_off->off.i64, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | | | long long unsigned int /usr/include/inttypes.h:105:41: note: format string is defined here 105 | # define PRIu64 __PRI64_PREFIX "u" squid/ssi.c: In function ‘activate_external_sort’: squid/ssi.c:1407:24: warning: format ‘%lu’ expects argument of type ‘long unsigned int’, but argument 5 has type ‘long long unsigned int’ [-Wformat=] 1407 | fprintf(g->ptmp, "%s\t%u\t%" PRIu64 "\t%" PRIu64 "\t%lu\n", | ^~~~~~~~~~~ 1408 | g->pkeys[i].key, g->pkeys[i].fnum, 1409 | (unsigned long long) g->pkeys[i].r_off.off.i64, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | | | long long unsigned int /usr/include/inttypes.h:105:41: note: format string is defined here 105 | # define PRIu64 __PRI64_PREFIX "u" squid/ssi.c:1407:24: warning: format ‘%lu’ expects argument of type ‘long unsigned int’, but argument 6 has type ‘long long unsigned int’ [-Wformat=] 1407 | fprintf(g->ptmp, "%s\t%u\t%" PRIu64 "\t%" PRIu64 "\t%lu\n", | ^~~~~~~~~~~ ...... 1410 | (unsigned long long) g->pkeys[i].d_off.off.i64, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | | | long long unsigned int /usr/include/inttypes.h:105:41: note: format string is defined here 105 | # define PRIu64 __PRI64_PREFIX "u" gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c squid/stack.c -o squid/stack.o In file included from squid/squid.h:32, from squid/stack.c:18: squid/../config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c squid/stockholm.c -o squid/stockholm.o In file included from squid/squid.h:32, from squid/stockholm.c:31: squid/../config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c squid/stopwatch.c -o squid/stopwatch.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c squid/translate.c -o squid/translate.o In file included from squid/squid.h:32, from squid/translate.c:19: squid/../config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c squid/types.c -o squid/types.o In file included from squid/squid.h:32, from squid/types.c:20: squid/../config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c squid/vectorops.c -o squid/vectorops.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c squid/weight.c -o squid/weight.o In file included from squid/squid.h:32, from squid/weight.c:19: squid/../config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu++11 -Fpic -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -pedantic -mtune=native -c hhalign/hhalign.cpp -o hhalign/hhalign.o In file included from hhalign/hhalign.cpp:68: hhalign/util-C.h: In function ‘float fast_log2(float)’: hhalign/util-C.h:94:16: warning: dereferencing type-punned pointer will break strict-aliasing rules [-Wstrict-aliasing] 94 | int a = (((*((int *)&x)) & 0x7F800000) >>23 )-0x7f; | ~^~~~~~~~~~ hhalign/util-C.h:95:16: warning: dereferencing type-punned pointer will break strict-aliasing rules [-Wstrict-aliasing] 95 | int b = ((*((int *)&x)) & 0x007FE000) >>13; | ~^~~~~~~~~~ hhalign/util-C.h:96:16: warning: dereferencing type-punned pointer will break strict-aliasing rules [-Wstrict-aliasing] 96 | int c = ((*((int *)&x)) & 0x00001FFF); | ~^~~~~~~~~~ hhalign/util-C.h: In function ‘float fpow2(float)’: hhalign/util-C.h:111:14: warning: dereferencing type-punned pointer will break strict-aliasing rules [-Wstrict-aliasing] 111 | int lx = *((int*)&tx) - 0x4b400000; // integer value of x | ~^~~~~~~~~~ hhalign/util-C.h: In function ‘float fast_pow2(float)’: hhalign/util-C.h:158:22: warning: dereferencing type-punned pointer will break strict-aliasing rules [-Wstrict-aliasing] 158 | pow2[b]=(*((unsigned int *)(&f)) & 0x7FFFFF); // store the mantisse of 2^(1+b/1024) | ~^~~~~~~~~~~~~~~~~~~~~ hhalign/util-C.h:202:12: warning: dereferencing type-punned pointer will break strict-aliasing rules [-Wstrict-aliasing] 202 | return *((float*)&y); | ~^~~~~~~~~~~ In file included from hhalign/hhalign.cpp:70: hhalign/hash-C.h: In member function ‘void Hash::Print()’: hhalign/hash-C.h:485:8: warning: ISO C++ forbids variable length array ‘key’ [-Wvla] 485 | char key[MaxLen()+1]; | ^~~ In file included from hhalign/hhalign.cpp:82: hhalign/hhhmm-C.h: In member function ‘int HMM::ReadHMMer3(FILE*, char*)’: hhalign/hhhmm-C.h:1141:12: warning: variable ‘dAlphaInv’ set but not used [-Wunused-but-set-variable] 1141 | double dAlphaInv = 1.00 / (double)(iAlpha); /* weight of AA */ | ^~~~~~~~~ hhalign/hhhmm-C.h: In member function ‘void HMM::UseSecStrucDependentGapPenalties()’: hhalign/hhhmm-C.h:1734:17: warning: ISO C++ forbids variable length array ‘iis’ [-Wvla] 1734 | unsigned char iis[par.maxResLen]; // inside-integer array | ^~~ hhalign/hhhmm-C.h: In member function ‘void HMM::WriteToFileHMMER(char*)’: hhalign/hhhmm-C.h:2206:3: warning: this ‘for’ clause does not guard... [-Wmisleading-indentation] 2206 | for (i=0; i<=par.argc-1; ++i) fprintf(outf,"%s ",par.argv[i]); fprintf(outf,"\n"); | ^~~ hhalign/hhhmm-C.h:2206:66: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘for’ 2206 | for (i=0; i<=par.argc-1; ++i) fprintf(outf,"%s ",par.argv[i]); fprintf(outf,"\n"); | ^~~~~~~ In file included from hhalign/hhalign.cpp:83: hhalign/hhalignment-C.h: In member function ‘void Alignment::Read(FILE*, char*, char*)’: hhalign/hhalignment-C.h:245:32: warning: variable ‘ptr2’ set but not used [-Wunused-but-set-variable] 245 | char *ptr1, *ptr2; | ^~~~ hhalign/hhalignment-C.h: In member function ‘int Alignment::FilterWithCoreHMM(char*, float, HMM&)’: hhalign/hhalignment-C.h:1429:19: warning: variable ‘score_M’ set but not used [-Wunused-but-set-variable] 1429 | float score_M=0.0; | ^~~~~~~ hhalign/hhalignment-C.h:1430:19: warning: variable ‘score_prev’ set but not used [-Wunused-but-set-variable] 1430 | float score_prev=0.0; | ^~~~~~~~~~ hhalign/hhalignment-C.h: In member function ‘void Alignment::Amino_acid_frequencies_and_transitions_from_M_state(HMM&, char*)’: hhalign/hhalignment-C.h:1905:18: warning: suggest explicit braces to avoid ambiguous ‘else’ [-Wdangling-else] 1905 | if (ncol=NCOLMIN) | ^ hhalign/hhalignment-C.h: In member function ‘void Alignment::Transitions_from_D_state(HMM&, char*)’: hhalign/hhalignment-C.h:2344:32: warning: suggest explicit braces to avoid ambiguous ‘else’ [-Wdangling-else] 2344 | if (ncol='a' && q.fam[0]<='k' && q.fam[1]=='.') | ~~^~~ In file included from hhalign/hhalign.cpp:76: hhalign/hhhmm.h:53:8: note: ‘HMM::fam’ declared here 53 | char fam[NAMELEN]; // family ID (derived from name) (FAM field) | ^~~ hhalign/hhhitlist-C.h: In member function ‘void HitList::CalculateHHblastCorrelation(HMM&)’: hhalign/hhhitlist-C.h:840:9: warning: the address of ‘HMM::fam’ will never be NULL [-Waddress] 840 | if (q.fam && q.fam[0]>='a' && q.fam[0]<='k' && q.fam[1]=='.') | ~~^~~ hhalign/hhhmm.h:53:8: note: ‘HMM::fam’ declared here 53 | char fam[NAMELEN]; // family ID (derived from name) (FAM field) | ^~~ hhalign/hhhitlist-C.h: In member function ‘void HitList::TransitiveScoring()’: hhalign/hhhitlist-C.h:1259:10: warning: variable ‘unused’ set but not used [-Wunused-but-set-variable] 1259 | size_t unused; /* disable fread gcc warning */ | ^~~~~~ hhalign/hhhitlist-C.h: In member function ‘void HitList::TransitiveScoring2()’: hhalign/hhhitlist-C.h:1624:10: warning: variable ‘unused’ set but not used [-Wunused-but-set-variable] 1624 | size_t unused; /* disable fread gcc warning */ | ^~~~~~ hhalign/hhhitlist-C.h: In member function ‘void HitList::TransitiveScoring3()’: hhalign/hhhitlist-C.h:1994:10: warning: variable ‘unused’ set but not used [-Wunused-but-set-variable] 1994 | size_t unused; /* disable fread gcc warning */ | ^~~~~~ hhalign/hhhitlist-C.h: In member function ‘void HitList::TransitiveScoring4()’: hhalign/hhhitlist-C.h:2359:10: warning: variable ‘unused’ set but not used [-Wunused-but-set-variable] 2359 | size_t unused; /* disable fread gcc warning */ | ^~~~~~ In file included from hhalign/hhalign.cpp:88: hhalign/hhfunc-C.h: In function ‘void AddBackgroundFrequencies(float**, float**, float**, int, hmm_light*, char**, char*, int, char*)’: hhalign/hhfunc-C.h:74:9: warning: unused variable ‘iT’ [-Wunused-variable] 74 | int iT; /* transition state iterator */ | ^~ hhalign/hhfunc-C.h:80:11: warning: unused variable ‘fGThgiew’ [-Wunused-variable] 80 | float fGThgiew = UNITY - fGWeight; /* weight of 'true' transitions */ | ^~~~~~~~ hhalign/hhfunc-C.h:85:11: warning: unused variable ‘zf1SeqTrans’ [-Wunused-variable] 85 | float zf1SeqTrans[] = {0.98, 0.01, 0.01, 0.25, 0.75, 0.25, 0.75}; | ^~~~~~~~~~~ hhalign/hhfunc-C.h:86:11: warning: unused variable ‘zf1SeqInit’ [-Wunused-variable] 86 | float zf1SeqInit[] = {0.98, 0.01, 0.01, 0.99, 0.01, 0.99, 0.01}; | ^~~~~~~~~~ hhalign/hhfunc-C.h:87:11: warning: unused variable ‘zf1SeqDel’ [-Wunused-variable] 87 | float zf1SeqDel[] = {0.24, 0.01, 0.75, 0.01, 0.01, 0.01, 0.01}; | ^~~~~~~~~ hhalign/hhfunc-C.h:88:11: warning: unused variable ‘zf1SeqRevrt’ [-Wunused-variable] 88 | float zf1SeqRevrt[] = {0.98, 0.01, 0.01, 0.01, 0.01, 0.99, 0.01}; | ^~~~~~~~~~~ hhalign/hhfunc-C.h: In function ‘int ReadAndPrepare(int, char**, int, hmm_light*, char*, char*, double*, char*, HMM&, Alignment*)’: hhalign/hhfunc-C.h:328:17: warning: unused variable ‘NEFF_SCORE’ [-Wunused-variable] 328 | const int NEFF_SCORE = 10; /* FIXME: Magic Number */ | ^~~~~~~~~~ hhalign/hhfunc-C.h:511:17: warning: unused variable ‘NEFF_SCORE’ [-Wunused-variable] 511 | const int NEFF_SCORE = 10; /* FIXME: Magic Number */ | ^~~~~~~~~~ hhalign/hhfunc-C.h:561:30: warning: format ‘%p’ expects argument of type ‘void*’, but argument 5 has type ‘char**’ [-Wformat=] 561 | "\tppcProf=%p, #seq=%d, ppcProf[0][0]=%c\n" | ~^ | | | void* 562 | , __FUNCTION__, __FILE__, __LINE__ 563 | , ppcProf, iCnt, ppcProf[0][0]); | ~~~~~~~ | | | char** hhalign/hhalign.cpp: In function ‘int hhalign(char**, int, double*, char**, int, double*, double*, hmm_light*, char*, char*, char*, char*, hhalign_para, hhalign_scores*, int, int, char*, char*)’: hhalign/hhalign.cpp:727:9: warning: variable ‘Nali’ set but not used [-Wunused-but-set-variable] 727 | int Nali; /* number of normally backtraced alignments | ^~~~ hhalign/hhhmm-C.h: In member function ‘int HMM::Read(FILE*, char*)’: hhalign/hhhmm-C.h:294:20: warning: ‘char* __builtin___strncat_chk(char*, const char*, long unsigned int, long unsigned int)’ output may be truncated copying between 0 and 510 bytes from a string of length 262139 [-Wstringop-truncation] 294 | strncat(file,ptr,NAMELEN-1-strlen(file)); // append file name read from file to path | ^ hhalign/hhhmm-C.h:285:27: warning: ‘char* __builtin_strncpy(char*, const char*, long unsigned int)’ output may be truncated copying 254 bytes from a string of length 262140 [-Wstringop-truncation] 285 | if (ptr) strncpy(fam,ptr,IDLEN-1); else strcpy(fam,""); //copy family name to basename | ^ hhalign/hhhmm-C.h:269:22: warning: ‘char* __builtin_strncpy(char*, const char*, long unsigned int)’ output may be truncated copying 32764 bytes from a string of length 262139 [-Wstringop-truncation] 269 | strncpy(longname,ptr,DESCLEN-1); //copy full name to longname | ^ hhalign/hhhmm-C.h: In member function ‘int HMM::ReadHMMer(FILE*, char*)’: hhalign/hhhmm-C.h:668:18: warning: ‘char* __builtin_strncpy(char*, const char*, long unsigned int)’ output may be truncated copying 510 bytes from a string of length 262139 [-Wstringop-truncation] 668 | strncpy(name,ptr,NAMELEN-1); // copy full name to name | ^ hhalign/hhhmm-C.h:684:22: warning: ‘char* __builtin_strncpy(char*, const char*, long unsigned int)’ output may be truncated copying 32764 bytes from a string of length 262139 [-Wstringop-truncation] 684 | strncpy(desc,ptr,DESCLEN-1); // copy description to name... | ^ hhalign/hhhmm-C.h:676:18: warning: ‘char* __builtin_strncpy(char*, const char*, long unsigned int)’ output may be truncated copying 32764 bytes from a string of length 262139 [-Wstringop-truncation] 676 | strncpy(longname,ptr,DESCLEN-1); // copy Accession id to longname... | ^ hhalign/hhhmm-C.h:1006:10: warning: ‘char* __builtin_strncat(char*, const char*, long unsigned int)’ output may be truncated copying between 0 and 32764 bytes from a string of length 32764 [-Wstringop-truncation] 1006 | strncat(longname,desc,DESCLEN-strlen(longname)-1); | ^ hhalign/hhhmm-C.h: In member function ‘int HMM::ReadHMMer3(FILE*, char*)’: hhalign/hhhmm-C.h:1167:25: warning: ‘char* __builtin_strncpy(char*, const char*, long unsigned int)’ output may be truncated copying 510 bytes from a string of length 262139 [-Wstringop-truncation] 1167 | strncpy(name,ptr,NAMELEN-1); // copy full name to name | ^ hhalign/hhhmm-C.h:1183:33: warning: ‘char* __builtin_strncpy(char*, const char*, long unsigned int)’ output may be truncated copying 32764 bytes from a string of length 262139 [-Wstringop-truncation] 1183 | strncpy(desc,ptr,DESCLEN-1); // copy description to name... | ^ hhalign/hhhmm-C.h:1175:25: warning: ‘char* __builtin_strncpy(char*, const char*, long unsigned int)’ output may be truncated copying 32764 bytes from a string of length 262139 [-Wstringop-truncation] 1175 | strncpy(longname,ptr,DESCLEN-1); // copy Accession id to longname... | ^ hhalign/hhhmm-C.h:1500:9: warning: ‘char* __builtin_strncat(char*, const char*, long unsigned int)’ output may be truncated copying between 0 and 32764 bytes from a string of length 32764 [-Wstringop-truncation] 1500 | strncat(longname,desc,DESCLEN-strlen(longname)-1); | ^ hhalign/hhhmm-C.h: In member function ‘void HMM::UseSecStrucDependentGapPenalties()’: hhalign/hhhmm-C.h:1748:16: warning: writing 1 byte into a region of size 0 [-Wstringop-overflow=] 1748 | iis[0]=iis[L]=0; | ~~~~~~^~ hhalign/hhhmm-C.h:1734:17: note: at offset [-2147483648, -1] into destination object ‘iis’ of size [0, 2147483647] 1734 | unsigned char iis[par.maxResLen]; // inside-integer array | ^~~ hhalign/hhalignment-C.h: In member function ‘void Alignment::Read(FILE*, char*, char*)’: hhalign/hhalignment-C.h:247:26: warning: ‘char* __builtin_strncpy(char*, const char*, long unsigned int)’ output may be truncated copying 32764 bytes from a string of length 262142 [-Wstringop-truncation] 247 | strncpy(longname,ptr1,DESCLEN-1); // copy whole commentary line after '# ' into longname | ^ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu++11 -Fpic -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -pedantic -mtune=native -c RClustalOmega.cpp -o RClustalOmega.o In file included from RClustalOmega.cpp:27: config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c mymain.c -o mymain.o In file included from mymain.c:22: config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition In file included from clustal-omega.h:43, from mymain.c:35: mymain.c: In function ‘FreeUserOpts’: clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ mymain.c:228:9: note: in expansion of macro ‘CKFREE’ 228 | CKFREE(user_opts->pcSeqInfile); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ mymain.c:231:9: note: in expansion of macro ‘CKFREE’ 231 | CKFREE(user_opts->pcProfile1Infile); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ mymain.c:234:9: note: in expansion of macro ‘CKFREE’ 234 | CKFREE(user_opts->pcProfile2Infile); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ mymain.c:237:9: note: in expansion of macro ‘CKFREE’ 237 | CKFREE(user_opts->pcAlnOutfile); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ mymain.c:240:9: note: in expansion of macro ‘CKFREE’ 240 | CKFREE(user_opts->pcLogFile); | ^~~~~~ mymain.c: In function ‘ParseCommandLine’: clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ mymain.c:762:53: note: in expansion of macro ‘CKMALLOC’ 762 | user_opts->aln_opts.ppcHMMInput = (char **) CKMALLOC( | ^~~~~~~~ mymain.c: In function ‘executeClustalOmega’: clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ mymain.c:1171:41: note: in expansion of macro ‘CKMALLOC’ 1171 | prMSeq->tree_order = (int *)CKMALLOC(prMSeq->nseqs * sizeof(int)); | ^~~~~~~~ gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -std=gnu11 -fPIC -DHAVE_CONFIG_H -I. -DCLUSTALO -DCLUSTALO_NOFILE -DDEFAULT_FILTER=90 -I../../gc-8.2.8/include -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c clustal-omega.c -o clustal-omega.o In file included from clustal-omega.c:22: config.h:132:9: warning: ‘NDEBUG’ redefined 132 | #define NDEBUG /**/ | ^~~~~~ : note: this is the location of the previous definition In file included from clustal-omega.h:43, from clustal-omega.c:27: clustal-omega.c: In function ‘FreeAlnOpts’: clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal-omega.c:165:9: note: in expansion of macro ‘CKFREE’ 165 | CKFREE(prAlnOpts->pcGuidetreeInfile); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal-omega.c:168:9: note: in expansion of macro ‘CKFREE’ 168 | CKFREE(prAlnOpts->pcGuidetreeOutfile); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal-omega.c:171:9: note: in expansion of macro ‘CKFREE’ 171 | CKFREE(prAlnOpts->pcDistmatOutfile); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal-omega.c:174:9: note: in expansion of macro ‘CKFREE’ 174 | CKFREE(prAlnOpts->pcDistmatInfile); | ^~~~~~ clustal-omega.c: At top level: clustal-omega.c:321:1: warning: function declaration isn’t a prototype [-Wstrict-prototypes] 321 | HmmerVersion() | ^~~~~~~~~~~~ clustal-omega.c: In function ‘AlnToHHMFile’: clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal-omega.c:417:9: note: in expansion of macro ‘CKFREE’ 417 | CKFREE(tmp_aln); | ^~~~~~ clustal-omega.c: In function ‘AlnToHMMFile’: clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal-omega.c:515:9: note: in expansion of macro ‘CKFREE’ 515 | CKFREE(tmp_aln); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal-omega.c:528:9: note: in expansion of macro ‘CKFREE’ 528 | CKFREE(tmp_aln); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal-omega.c:536:9: note: in expansion of macro ‘CKFREE’ 536 | CKFREE(tmp_hmm); | ^~~~~~ clustal-omega.c: In function ‘AlnToHMM’: clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal-omega.c:575:9: note: in expansion of macro ‘CKFREE’ 575 | CKFREE(pcHMM); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal-omega.c:584:9: note: in expansion of macro ‘CKFREE’ 584 | CKFREE(pcHMM); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal-omega.c:602:9: note: in expansion of macro ‘CKFREE’ 602 | CKFREE(pcHMM); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal-omega.c:609:5: note: in expansion of macro ‘CKFREE’ 609 | CKFREE(pcHMM); | ^~~~~~ clustal-omega.c: In function ‘SequentialAlignmentOrder’: clustal/util.h:30:43: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 30 | #define CKCALLOC(c, s) CkCalloc((c), (s), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal-omega.c:671:29: note: in expansion of macro ‘CKCALLOC’ 671 | (*piOrderLR_p) = (int *)CKCALLOC(DIFF_NODE * uNodes, sizeof(int)); | ^~~~~~~~ clustal-omega.c: In function ‘AlignmentOrder’: clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal-omega.c:786:33: note: in expansion of macro ‘CKMALLOC’ 786 | (*piOrderLR_p) = (int*) CKMALLOC(DIFF_NODE * 3 * sizeof(int)); | ^~~~~~~~ clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal-omega.c:848:35: note: in expansion of macro ‘CKMALLOC’ 848 | labels = (char**) CKMALLOC(prMSeq->nseqs * sizeof(char*)); | ^~~~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal-omega.c:856:17: note: in expansion of macro ‘CKFREE’ 856 | CKFREE(labels); | ^~~~~~ clustal-omega.c: In function ‘Align’: clustal/util.h:29:35: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 29 | #define CKMALLOC(b) CkMalloc((b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal-omega.c:1038:32: note: in expansion of macro ‘CKMALLOC’ 1038 | prHMMs = (hmm_light *) CKMALLOC(prOpts->iHMMInputFiles * sizeof(hmm_light)); | ^~~~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal-omega.c:1073:13: note: in expansion of macro ‘CKFREE’ 1073 | CKFREE(prOpts->ppcHMMInput[iHMMInfileIndex]); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal-omega.c:1075:9: note: in expansion of macro ‘CKFREE’ 1075 | CKFREE(prOpts->ppcHMMInput); | ^~~~~~ clustal/util.h:31:45: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 31 | #define CKREALLOC(p, b) CkRealloc((p), (b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal-omega.c:1102:36: note: in expansion of macro ‘CKREALLOC’ 1102 | prHMMs = (hmm_light *) CKREALLOC(prHMMs, ((prOpts->iHMMInputFiles+1) * sizeof(hmm_light))); | ^~~~~~~~~ clustal/util.h:31:45: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 31 | #define CKREALLOC(p, b) CkRealloc((p), (b), __FUNCTION__, __LINE__) | ^~~~~~~~~~~~ clustal-omega.c:1127:36: note: in expansion of macro ‘CKREALLOC’ 1127 | prHMMs = (hmm_light *) CKREALLOC(prHMMs, ((prOpts->iHMMInputFiles+1) * sizeof(hmm_light))); | ^~~~~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal-omega.c:1259:17: note: in expansion of macro ‘CKFREE’ 1259 | CKFREE(piOrderLR); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal-omega.c:1261:17: note: in expansion of macro ‘CKFREE’ 1261 | CKFREE(pdSeqWeights); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal-omega.c:1365:9: note: in expansion of macro ‘CKFREE’ 1365 | CKFREE(piOrderLR); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal-omega.c:1368:9: note: in expansion of macro ‘CKFREE’ 1368 | CKFREE(pdSeqWeights); | ^~~~~~ clustal/util.h:32:36: warning: ISO C does not support ‘__FUNCTION__’ predefined identifier [-Wpedantic] 32 | #define CKFREE(b) ((b)=CkFree((b), __FUNCTION__, __LINE__)) | ^~~~~~~~~~~~ clustal-omega.c:1374:9: note: in expansion of macro ‘CKFREE’ 1374 | CKFREE(prHMMs); | ^~~~~~ clustal-omega.c: At top level: clustal-omega.c:134:18: warning: ‘ITERATION_SCORE_IMPROVEMENT_THRESHOLD’ defined but not used [-Wunused-const-variable=] 134 | static const int ITERATION_SCORE_IMPROVEMENT_THRESHOLD = 0.01; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o libClustalOmega.so exceptions4c/e4c_lite.o argtable2/argtable2.o argtable2/arg_end.o argtable2/arg_rem.o argtable2/arg_lit.o argtable2/arg_int.o argtable2/arg_dbl.o argtable2/arg_str.o argtable2/arg_file.o kmpp/KMeans.o kmpp/KmTree.o kmpp/KmUtils.o clustal/hhalign_wrapper.o clustal/ktuple_pair.o clustal/list.o clustal/log.o clustal/muscle_upgma.o clustal/muscle_tree.o clustal/mbed.o clustal/pair_dist.o clustal/progress.o clustal/seq.o clustal/symmatrix.o clustal/tree.o clustal/util.o clustal/weights.o squid/a2m.o squid/aligneval.o squid/alignio.o squid/clustal.o squid/cluster.o squid/dayhoff.o squid/eps.o squid/file.o squid/getopt.o squid/gki.o squid/gsi.o squid/gsi64.o squid/hsregex.o squid/iupac.o squid/msa.o squid/msf.o squid/phylip.o squid/revcomp.o squid/rk.o squid/selex.o squid/seqencode.o squid/shuffle.o squid/sqerror.o squid/sqio.o squid/squidcore.o squid/sre_ctype.o squid/sre_math.o squid/sre_random.o squid/sre_string.o squid/ssi.o squid/stack.o squid/stockholm.o squid/stopwatch.o squid/translate.o squid/types.o squid/vectorops.o squid/weight.o hhalign/hhalign.o RClustalOmega.o mymain.o clustal-omega.o -L/home/hornik/tmp/R/lib -lR /usr/bin/ld: clustal-omega.o: in function `AlnToHHMFile': /home/hornik/tmp/scratch/Rtmpa55zeB/R.INSTALL34028169d22899/msa/src/ClustalOmega/src/clustal-omega.c:389:(.text+0x52c): warning: the use of `mktemp' is dangerous, better use `mkstemp' or `mkdtemp' make[3]: Leaving directory '/home/hornik/tmp/scratch/Rtmpa55zeB/R.INSTALL34028169d22899/msa/src/ClustalOmega/src' make[2]: Leaving directory '/home/hornik/tmp/scratch/Rtmpa55zeB/R.INSTALL34028169d22899/msa/src/ClustalOmega' ---------------------------------------- ------------- ClustalOmega ------------- ---------------------------------------- --------- Compilation finished --------- ---------------------------------------- g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o msa.so R_init_msa.o SplitCharVector2List.o SplitCharVector2Matrix.o -Wl,--whole-archive ./libgc.a ./libClustalW.a ./libClustalOmega.a ./libMuscle.a -Wl,--no-whole-archive -lpthread -L/home/hornik/tmp/R/lib -lR /usr/bin/ld: ./libClustalW.a(Iteration.o): in function `clustalw::Iteration::removeFirstIterate(clustalw::Alignment*)': /home/hornik/tmp/scratch/Rtmpa55zeB/R.INSTALL34028169d22899/msa/src/ClustalW/src/multipleAlign/Iteration.cpp:231:(.text+0xe19): warning: the use of `tmpnam' is dangerous, better use `mkstemp' /usr/bin/ld: ./libClustalOmega.a(clustal-omega.o): in function `AlnToHHMFile': /home/hornik/tmp/scratch/Rtmpa55zeB/R.INSTALL34028169d22899/msa/src/ClustalOmega/src/clustal-omega.c:389:(.text+0x52c): warning: the use of `mktemp' is dangerous, better use `mkstemp' or `mkdtemp' make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmpa55zeB/R.INSTALL34028169d22899/msa/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-msa/00new/msa/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (msa) * installing *source* package ‘wv’ ... ** this is package ‘wv’ version ‘0.1.3’ ** package ‘wv’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-15 (Debian 15.2.0-12) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpqY6Di1/R.INSTALL345220b726d59/wv/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c armadillo_manipulations.cpp -o armadillo_manipulations.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c dwt.cpp -o dwt.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c process_to_wv.cpp -o process_to_wv.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c robust_components.cpp -o robust_components.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rtoarmadillo.cpp -o rtoarmadillo.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c sarma.cpp -o sarma.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c sp_dwt.cpp -o sp_dwt.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c spatial_filter.cpp -o spatial_filter.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c wave_variance.cpp -o wave_variance.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c wv_cov.cpp -o wv_cov.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c wv_filters.cpp -o wv_filters.o g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o wv.so RcppExports.o armadillo_manipulations.o dwt.o process_to_wv.o robust_components.o rtoarmadillo.o sarma.o sp_dwt.o spatial_filter.o wave_variance.o wv_cov.o wv_filters.o -llapack -L/home/hornik/tmp/R/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpqY6Di1/R.INSTALL345220b726d59/wv/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-wv/00new/wv/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (wv) * installing *source* package ‘RTMB’ ... ** this is package ‘RTMB’ version ‘1.8’ ** package ‘RTMB’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-15 (Debian 15.2.0-12) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpmhWJqd/R.INSTALL34026d7934869a/RTMB/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -DTMB_EIGEN_DISABLE_WARNINGS -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RTMB.cpp -o RTMB.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -DTMB_EIGEN_DISABLE_WARNINGS -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RTMB_tape.cpp -o RTMB_tape.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -DTMB_EIGEN_DISABLE_WARNINGS -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -DTMB_EIGEN_DISABLE_WARNINGS -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c TMB.cpp -o TMB.o In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMB.hpp:137, from TMB.h:38, from TMB.cpp:2: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp: In function ‘TMBad::ad_adapt TMBad::F(const ad_adapt&, const ad_adapt&)’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:3110:10: warning: infinite recursion detected [-Winfinite-recursion] 3110 | ad_adapt F(const ad_adapt &x1, const ad_adapt &x2) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:3111:20: note: recursive call 3111 | return ad_adapt(F(ad_aug(x1), ad_aug(x2))); | ~^~~~~~~~~~~~~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -DTMB_EIGEN_DISABLE_WARNINGS -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c bessel.cpp -o bessel.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -DTMB_EIGEN_DISABLE_WARNINGS -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c distributions.cpp -o distributions.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -DTMB_EIGEN_DISABLE_WARNINGS -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c expAv.cpp -o expAv.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -DTMB_EIGEN_DISABLE_WARNINGS -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c interpol.cpp -o interpol.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -DTMB_EIGEN_DISABLE_WARNINGS -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c lapack.cpp -o lapack.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -DTMB_EIGEN_DISABLE_WARNINGS -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c math.cpp -o math.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -DTMB_EIGEN_DISABLE_WARNINGS -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c math_complex.cpp -o math_complex.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -DTMB_EIGEN_DISABLE_WARNINGS -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c misc.cpp -o misc.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -DTMB_EIGEN_DISABLE_WARNINGS -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c poshess.cpp -o poshess.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -DTMB_EIGEN_DISABLE_WARNINGS -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c subset.cpp -o subset.o g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o RTMB.so RTMB.o RTMB_tape.o RcppExports.o TMB.o bessel.o distributions.o expAv.o interpol.o lapack.o math.o math_complex.o misc.o poshess.o subset.o -llapack -L/home/hornik/tmp/R/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpmhWJqd/R.INSTALL34026d7934869a/RTMB/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-RTMB/00new/RTMB/libs ** R ** inst ** byte-compile and prepare package for lazy loading Creating a generic function for ‘fft’ from package ‘stats’ in package ‘RTMB’ Creating a generic function for ‘colSums’ from package ‘base’ in package ‘RTMB’ Creating a generic function for ‘rowSums’ from package ‘base’ in package ‘RTMB’ Creating a generic function for ‘diag’ from package ‘base’ in package ‘RTMB’ Creating a generic function for ‘besselK’ from package ‘base’ in package ‘RTMB’ Creating a generic function for ‘besselI’ from package ‘base’ in package ‘RTMB’ Creating a generic function for ‘besselJ’ from package ‘base’ in package ‘RTMB’ Creating a generic function for ‘besselY’ from package ‘base’ in package ‘RTMB’ Creating a generic function for ‘dexp’ from package ‘stats’ in package ‘RTMB’ Creating a generic function for ‘dweibull’ from package ‘stats’ in package ‘RTMB’ Creating a generic function for ‘dbinom’ from package ‘stats’ in package ‘RTMB’ Creating a generic function for ‘dbeta’ from package ‘stats’ in package ‘RTMB’ Creating a generic function for ‘df’ from package ‘stats’ in package ‘RTMB’ Creating a generic function for ‘dlogis’ from package ‘stats’ in package ‘RTMB’ Creating a generic function for ‘dt’ from package ‘stats’ in package ‘RTMB’ Creating a generic function for ‘dnbinom’ from package ‘stats’ in package ‘RTMB’ Creating a generic function for ‘dpois’ from package ‘stats’ in package ‘RTMB’ Creating a generic function for ‘dgamma’ from package ‘stats’ in package ‘RTMB’ Creating a generic function for ‘pnorm’ from package ‘stats’ in package ‘RTMB’ Creating a generic function for ‘pgamma’ from package ‘stats’ in package ‘RTMB’ Creating a generic function for ‘ppois’ from package ‘stats’ in package ‘RTMB’ Creating a generic function for ‘pexp’ from package ‘stats’ in package ‘RTMB’ Creating a generic function for ‘pweibull’ from package ‘stats’ in package ‘RTMB’ Creating a generic function for ‘pbeta’ from package ‘stats’ in package ‘RTMB’ Creating a generic function for ‘qnorm’ from package ‘stats’ in package ‘RTMB’ Creating a generic function for ‘qgamma’ from package ‘stats’ in package ‘RTMB’ Creating a generic function for ‘qexp’ from package ‘stats’ in package ‘RTMB’ Creating a generic function for ‘qweibull’ from package ‘stats’ in package ‘RTMB’ Creating a generic function for ‘qbeta’ from package ‘stats’ in package ‘RTMB’ Creating a generic function for ‘lbeta’ from package ‘base’ in package ‘RTMB’ Creating a generic function for ‘eigen’ from package ‘base’ in package ‘RTMB’ Creating a generic function for ‘svd’ from ‘base’ in package ‘RTMB’ (from the saved implicit definition) Creating a generic function for ‘svd’ from package ‘base’ in package ‘RTMB’ Creating a generic function for ‘cov2cor’ from package ‘stats’ in package ‘RTMB’ Creating a generic function for ‘dnorm’ from package ‘stats’ in package ‘RTMB’ Creating a generic function for ‘dlnorm’ from package ‘stats’ in package ‘RTMB’ Creating a generic function for ‘plogis’ from package ‘stats’ in package ‘RTMB’ Creating a generic function for ‘qlogis’ from package ‘stats’ in package ‘RTMB’ Creating a generic function for ‘matrix’ from package ‘base’ in package ‘RTMB’ Creating a generic function for ‘apply’ from package ‘base’ in package ‘RTMB’ Creating a generic function for ‘sapply’ from package ‘base’ in package ‘RTMB’ Creating a generic function for ‘ifelse’ from package ‘base’ in package ‘RTMB’ Creating a generic function for ‘pbinom’ from package ‘stats’ in package ‘RTMB’ Creating a generic function for ‘dmultinom’ from package ‘stats’ in package ‘RTMB’ Creating a generic function for ‘dcauchy’ from package ‘stats’ in package ‘RTMB’ Creating a generic function for ‘pnbinom’ from package ‘stats’ in package ‘RTMB’ Creating a generic function for ‘findInterval’ from package ‘base’ in package ‘RTMB’ ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (RTMB) begin installing package ‘dsem’ * installing *source* package ‘dsem’ ... ** this is package ‘dsem’ version ‘1.7.0’ ** package ‘dsem’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-15 (Debian 15.2.0-12) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpgddpmI/R.INSTALL3457dd68e13e26/dsem/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -DTMBAD_FRAMEWORK -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c dsem.cpp -o dsem.o In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMB.hpp:92, from dsem.cpp:3: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from ‘struct Eigen::internal::traits >’ 23 | template struct traits : traits {}; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits > >’ 18 | struct traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:95:71: required from here 95 | void matmul(Map x, Map y, Map z) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits > >’ 24 | ? PlainObjectType::ColsAtCompileTime | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:95:71: required from here 95 | void matmul(Map x, Map y, Map z) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:95:71: required from here 95 | void matmul(Map x, Map y, Map z) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:95:71: required from here 95 | void matmul(Map x, Map y, Map z) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:97:69: required from here 97 | if (XT && YT && ZT) z.transpose() = x.transpose() * y.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:97:69: required from here 97 | if (XT && YT && ZT) z.transpose() = x.transpose() * y.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Transpose > >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Transpose > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Transpose > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Transpose > >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Transpose > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Transpose > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:97:69: required from here 97 | if (XT && YT && ZT) z.transpose() = x.transpose() * y.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose > >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose > >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:98:58: required from here 98 | if (!XT && YT && ZT) z.transpose() = x * y.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Map >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Map >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Map >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Map >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Map >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Map >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:99:58: required from here 99 | if (XT && !YT && ZT) z.transpose() = x.transpose() * y; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Map >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Map >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Map >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Map >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Map >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Map >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:101:47: required from here 101 | if (!XT && !YT && ZT) z.transpose() = x * y; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:65: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:17:8: required from ‘struct tmbutils::vector’ 17 | struct vector : Array | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vectorize.hpp:54:35: required from here 54 | struct vector : tmbutils::vector { | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits > >’ 24 | ? PlainObjectType::ColsAtCompileTime | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/convert.hpp:114:24: required from here 114 | vector y = tmp.cast(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/convert.hpp:114:24: required from here 114 | vector y = tmp.cast(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl >, Eigen::Dense>’ 68 | class InverseImpl | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse > >’ 43 | class Inverse : public InverseImpl::StorageKind> | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:497:1: required from here 510 | Y = X.inverse(); // Use Eigen matrix inverse (LU) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from here 539 | double res=LUdiag.abs().log().sum(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from here 539 | double res=LUdiag.abs().log().sum(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:554:1: required from here 571 | double logdetX = D.log().sum(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_convolve.hpp:8:57: required from here 14 | y(i, j) = (x.block(i, j, kr, kc).array() * K.array()).sum(); | ~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, -1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, -1, false> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_convolve.hpp:8:57: required from here 14 | y(i, j) = (x.block(i, j, kr, kc).array() * K.array()).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_convolve.hpp:8:57: required from here 14 | y(i, j) = (x.block(i, j, kr, kc).array() * K.array()).sum(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_convolve.hpp:8:57: required from here 14 | y(i, j) = (x.block(i, j, kr, kc).array() * K.array()).sum(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:22:1: required from here 291 | y_ = foo0(x_); \ | ~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:22:1: required from here 291 | y_ = foo0(x_); \ | ~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:30:1: required from here 291 | y_ = foo0(x_); \ | ~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:30:1: required from here 291 | y_ = foo0(x_); \ | ~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/start_parallel.hpp:361:50: required from here 361 | for(int i=0; i::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMB.hpp:96: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/simplicial_inverse_subset.hpp:7:46: required from here 7 | typedef SimplicialLLT > BaseD; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 1, Eigen::Sparse>’ 25 | template class TriangularViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 1>’ 187 | template class TriangularView | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:42:26: required from here 42 | return 2. * llt.matrixL().nestedExpression().diagonal().array().log().sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:42:56: required from here 42 | return 2. * llt.matrixL().nestedExpression().diagonal().array().log().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:42:64: required from here 42 | return 2. * llt.matrixL().nestedExpression().diagonal().array().log().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:42:70: required from here 42 | return 2. * llt.matrixL().nestedExpression().diagonal().array().log().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:644:38: required from here 644 | D = (perm.transpose() * D.matrix()).array(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::MatrixWrapper >, 2>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::MatrixWrapper >, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::MatrixWrapper >, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::MatrixWrapper >, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::MatrixWrapper >, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::MatrixWrapper >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:644:40: required from here 644 | D = (perm.transpose() * D.matrix()).array(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::MatrixWrapper >, 2> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::MatrixWrapper >, 2> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, Eigen::MatrixWrapper >, 2> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, Eigen::MatrixWrapper >, 2> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:644:47: required from here 644 | D = (perm.transpose() * D.matrix()).array(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 2>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:645:28: required from here 645 | R = perm.transpose() * R; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:655:34: required from here 655 | Dtmp.diagonal() = Dpos.sqrt().cwiseInverse().array(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:655:49: required from here 655 | Dtmp.diagonal() = Dpos.sqrt().cwiseInverse().array(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:659:49: required from here 659 | LT = Eigen::MatrixXd( (Rtmp.transpose() * Rtmp).llt().matrixL().transpose() ); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:659:54: required from here 659 | LT = Eigen::MatrixXd( (Rtmp.transpose() * Rtmp).llt().matrixL().transpose() ); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:664:21: required from here 664 | Test1.diagonal().array() = Test1.diagonal().array() + 1.; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:664:59: required from here 664 | Test1.diagonal().array() = Test1.diagonal().array() + 1.; | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:664:59: required from here 664 | Test1.diagonal().array() = Test1.diagonal().array() + 1.; | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:664:59: required from here 664 | Test1.diagonal().array() = Test1.diagonal().array() + 1.; | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:672:46: required from here 672 | Dpos_inv.diagonal() = Dpos.cwiseInverse().array(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:676:59: required from here 676 | Test2.diagonal().array() = Test2.diagonal().array() + Dneg; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:680:31: required from here 680 | bool ok = (vecD.array() > 0).all(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:680:33: required from here 680 | bool ok = (vecD.array() > 0).all(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:699:17: required from here 699 | return y1 - y2; | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1226:26: required from here 1226 | dy_mat.diagonal() *= 2.; dy_mat *= .5; | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/sparse_matrix_exponential.hpp:225:25: required from here 225 | term = A * term / n; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:206:36: required from ‘atomic::nestedTriangle::nestedTriangle(tmbutils::vector >) [with int n = 1]’ 206 | matrix zero = args[0]*0.0; /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 273 | else if (nargs==2) ans=expm(nestedTriangle<1>(args)).bottomLeftCorner(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:206:36: required from ‘atomic::nestedTriangle::nestedTriangle(tmbutils::vector >) [with int n = 1]’ 206 | matrix zero = args[0]*0.0; /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 273 | else if (nargs==2) ans=expm(nestedTriangle<1>(args)).bottomLeftCorner(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/array.hpp:22:8: required from ‘struct tmbutils::array’ 22 | struct array:Map< Array >{ | ^~~~~ dsem.cpp:95:3: required from ‘Type objective_function::operator()() [with Type = double]’ 95 | DATA_ARRAY( y_tj ); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ dsem.cpp:142:49: required from ‘Type objective_function::operator()() [with Type = double]’ 142 | Eigen::SparseMatrix IminusRho_kk = I_kk - Rho_kk; | ~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>’ 50 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 1>’ 148 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 222 | class Map, Options, StrideType> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/MappedSparseMatrix.h:32:7: required from ‘class Eigen::MappedSparseMatrix’ 32 | class MappedSparseMatrix | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:477:54: required from ‘class Eigen::SparseLU, Eigen::COLAMDOrdering >’ 477 | MappedSparseMatrix m_Ustore; // The upper triangular matrix | ^~~~~~~~ dsem.cpp:145:76: required from ‘Type objective_function::operator()() [with Type = double]’ 145 | Eigen::SparseLU< Eigen::SparseMatrix, Eigen::COLAMDOrdering > inverseIminusRho_kk; | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::COLAMDOrdering >, Eigen::SparseMatrix > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:104:7: required from ‘class Eigen::SolveImpl, Eigen::COLAMDOrdering >, Eigen::SparseMatrix, Eigen::Sparse>’ 104 | class SolveImpl : public internal::generic_xpr_base, MatrixXpr, StorageKind>::type | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ dsem.cpp:153:48: required from ‘Type objective_function::operator()() [with Type = double]’ 153 | invIminusRho_kk = inverseIminusRho_kk.solve(I_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ dsem.cpp:158:59: required from ‘Type objective_function::operator()() [with Type = double]’ 158 | squared_invIminusRho_kk = invIminusRho_kk.cwiseProduct(invIminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ 22 | class SparseTransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ 45 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ dsem.cpp:169:58: required from ‘Type objective_function::operator()() [with Type = double]’ 169 | matrix sigma2_k1 = squared_Gamma_kk.transpose() * ones_k1; | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ dsem.cpp:169:61: required from ‘Type objective_function::operator()() [with Type = double]’ 169 | matrix sigma2_k1 = squared_Gamma_kk.transpose() * ones_k1; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::COLAMDOrdering >, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::COLAMDOrdering >, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::COLAMDOrdering >, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, Eigen::COLAMDOrdering >, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ dsem.cpp:172:65: required from ‘Type objective_function::operator()() [with Type = double]’ 172 | matrix margvar_k1 = invsquared_invIminusRho_kk.solve(sigma2_k1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>’ 145 | class ProductImpl : public internal::generic_xpr_base, MatrixXpr, StorageKind>::type | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ dsem.cpp:181:35: required from ‘Type objective_function::operator()() [with Type = double]’ 181 | IminusRho_kk = invmargsd_kk * IminusRho_kk; | ~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ dsem.cpp:224:22: required from ‘Type objective_function::operator()() [with Type = double]’ 224 | delta_k = x.array(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ 145 | class ProductImpl : public internal::generic_xpr_base, MatrixXpr, StorageKind>::type | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ dsem.cpp:243:59: required from ‘Type objective_function::operator()() [with Type = double]’ 243 | Eigen::SparseMatrix V_kk = Gamma_kk.transpose() * Gamma_kk; | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>’ 145 | class ProductImpl : public internal::generic_xpr_base, MatrixXpr, StorageKind>::type | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ dsem.cpp:246:74: required from ‘Type objective_function::operator()() [with Type = double]’ 246 | Eigen::SparseMatrix Q_kk = IminusRho_kk.transpose() * Vinv2_kk * IminusRho_kk; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ dsem.cpp:266:35: required from ‘Type objective_function::operator()() [with Type = double]’ 266 | matrix z2_k1 = Gamma_kk * z_k1; | ~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/start_parallel.hpp:375:43: required from ‘Vector parallelADFun::forward(const Vector&) [with Vector = Eigen::Matrix; Type = double]’ 375 | for(int i=0; iforward(x); | ~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::MatrixWrapper >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::MatrixWrapper >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::MatrixWrapper >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::MatrixWrapper >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::MatrixWrapper >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::MatrixWrapper >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/convenience.hpp:49:13: required from ‘tmbutils::vector operator*(Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 49 | return (A * x.matrix()).array(); | ~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/sparse_matrix_exponential.hpp:225:18: required from here 225 | term = A * term / n; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::MatrixWrapper >, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::MatrixWrapper >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::MatrixWrapper >, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, Eigen::MatrixWrapper >, 0> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/convenience.hpp:49:32: required from ‘tmbutils::vector operator*(Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 49 | return (A * x.matrix()).array(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/sparse_matrix_exponential.hpp:225:18: required from here 225 | term = A * term / n; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:30:27: required from ‘Type atomic::Block::norm() [with Type = double]’ 30 | Aabs = A.array().abs(); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:237:37: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 237 | double log2NormInf = log( A.norm() ); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:31:47: required from ‘Type atomic::Block::norm() [with Type = double]’ 31 | vector rsAabs = Aabs.rowwise().sum(); | ~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:237:37: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 237 | double log2NormInf = log( A.norm() ); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:18:23: required from ‘atomic::Block atomic::Block::scale(Type) [with Type = double]’ 18 | return Block( c * this->A ); | ~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:242:29: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 242 | matrix_pade AA = A.scale( 1.0 / pow( 2.0, s ) ); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:25:29: required from ‘atomic::Block atomic::Block::addIdentity() [with Type = double]’ 25 | return Block( this->A + I ); | ~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:245:45: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 245 | matrix_pade E = AA.scale( c).addIdentity(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl, Eigen::Dense>’ 68 | class InverseImpl | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >’ 43 | class Inverse : public InverseImpl::StorageKind> | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:36:36: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from ‘class Eigen::Tridiagonalization >’ 92 | >::type DiagonalReturnType; | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from ‘class Eigen::Tridiagonalization >’ 97 | >::type SubDiagonalReturnType; | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:55: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:26: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:277: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, -1, false> > >’ 1384 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false> >, Eigen::internal::IndexBased, double>’ 1464 | struct unary_evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_convolve.hpp:8:57: required from here 14 | y(i, j) = (x.block(i, j, kr, kc).array() * K.array()).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1613:41: required from ‘struct Eigen::internal::evaluator, 0> >’ 1613 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, 0> > >’ 1384 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper, 0> > >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, 0> > > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, 0> > > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:42:76: required from here 42 | return 2. * llt.matrixL().nestedExpression().diagonal().array().log().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type >, const Eigen::CwiseUnaryOp, const Eigen::Map > > >’ 513 | typedef typename _CastType::Scalar NewScalarType; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase > >::CastXpr’ 48 | template struct CastXpr { typedef typename internal::cast_return_type, const Derived> >::type Type; }; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase > >::CastXpr::Type Eigen::DenseBase > >::cast() const [with NewType = double]’ 62 | cast() const | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/convert.hpp:114:35: required from ‘tmbutils::vector asVector(SEXP) [with Type = double; SEXP = SEXPREC*]’ 114 | vector y = tmp.cast(); | ~~~~~~~~~~~~~~^~ dsem.cpp:93:3: required from ‘Type objective_function::operator()() [with Type = double]’ 239 | name = TMB_OBJECTIVE_PTR -> fillShape(asVector( \ | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ 240 | TMB_OBJECTIVE_PTR -> getShape(#name, &Rf_isReal )), #name); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/spmat.hpp:144:32: required from ‘tmbutils::matrix tmbutils::invertSparseMatrix(Eigen::SparseMatrix) [with Type = double]’ 144 | matrix ans = ldlt.solve(I); | ~~~~~~~~~~^~~ dsem.cpp:244:46: required from ‘Type objective_function::operator()() [with Type = double]’ 244 | matrix Vinv_kk = invertSparseMatrix( V_kk ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/array.hpp:300:3: required from ‘tmbutils::array tmbutils::array::operator-(T) [with T = tmbutils::array; Type = double]’ 298 | array OP(T y){return array(MapBase::OP(y),dim);} | ~~~~~~~~~~~^~~ dsem.cpp:249:34: required from ‘Type objective_function::operator()() [with Type = double]’ 249 | jnll_gmrf = GMRF(Q_kk)( x_tj - xhat_tj - delta_tj ); | ~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/array.hpp:299:3: required from ‘tmbutils::array tmbutils::array::operator+(T) [with T = tmbutils::array; Type = double]’ 298 | array OP(T y){return array(MapBase::OP(y),dim);} | ~~~~~~~~~~~^~~ dsem.cpp:277:21: required from ‘Type objective_function::operator()() [with Type = double]’ 277 | z_tj += xhat_tj + delta_tj; | ~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ dsem.cpp:70:31: required from ‘Type GMRF_conditional(tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector, tmbutils::vector) [with Type = double]’ 70 | matrix mu_cond = -1 * inverseQ_uu.solve(projx); | ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ dsem.cpp:300:33: required from ‘Type objective_function::operator()() [with Type = double]’ 300 | jnll_gmrf = GMRF_conditional( diff, Q_kk, obs_idx, unobs_idx ); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ dsem.cpp:73:35: required from ‘Type GMRF_conditional(tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector, tmbutils::vector) [with Type = double]’ 73 | vector diff_x = unobs_x - mu_cond.array(); | ~~~~~~~~^~~~~~~~~~~~~~~~~ dsem.cpp:300:33: required from ‘Type objective_function::operator()() [with Type = double]’ 300 | jnll_gmrf = GMRF_conditional( diff, Q_kk, obs_idx, unobs_idx ); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:603:56: required from ‘void report_stack::push(Vector_Matrix_Or_Array, const char*) [with Vector_Matrix_Or_Array = tmbutils::array; Type = double]’ 603 | Eigen::Array xa(x); | ^~ dsem.cpp:393:3: required from ‘Type objective_function::operator()() [with Type = double]’ 345 | TMB_OBJECTIVE_PTR -> reportvector.push(name, #name); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:44: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:22: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:77: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:56:31: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ dsem.cpp:114:20: required from ‘Type objective_function::operator()() [with Type = double]’ 114 | loglik_tj.setZero(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:730:33: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 730 | VectorBlock dense_k(dense, k, m); | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::InnerStride<1> > >’ 59 | template class RefBase | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::InnerStride<1> >’ 281 | template class Ref | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 732 | info = Base::column_bmod(jj, (nseg - nseg1), dense_k, tempv, segrep_k, repfnz_k, jcol, m_glu); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, -1, 1, false> >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, -1, 1, false>]’ 288 | typename internal::enable_if::MatchAtCompileTime),Derived>::type* = 0); | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 732 | info = Base::column_bmod(jj, (nseg - nseg1), dense_k, tempv, segrep_k, repfnz_k, jcol, m_glu); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::MatrixWrapper >, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::MatrixWrapper >, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::MatrixWrapper >, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::MatrixWrapper >, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::MatrixWrapper >, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:887:15: required from ‘density::GMRF_t::scalartype density::GMRF_t::Quadform(vectortype) [with scalartype_ = double; scalartype = double; vectortype = tmbutils::vector]’ 887 | return (x * (Q * x.matrix()).array()).sum(); | ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:890:57: required from ‘density::GMRF_t::scalartype density::GMRF_t::operator()(vectortype) [with scalartype_ = double; scalartype = double; vectortype = tmbutils::vector]’ 890 | return -scalartype(.5) * logdetQ + scalartype(.5) * Quadform(x) + x.size() * scalartype(log(sqrt(2.0 * M_PI))); | ^~~~~~~~ dsem.cpp:249:27: required from ‘Type objective_function::operator()() [with Type = double]’ 249 | jnll_gmrf = GMRF(Q_kk)( x_tj - xhat_tj - delta_tj ); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/start_parallel.hpp:374:16: required from ‘Vector parallelADFun::forward(const Vector&) [with Vector = Eigen::Matrix; Type = double]’ 374 | out.setZero(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2675:28: required from here 2675 | y_map = pf->forward(x); | ~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Matrix; bool Big = false]’ 846 | return m = Derived::Identity(m.rows(), m.cols()); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Matrix]’ 875 | return internal::setIdentity_impl::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:24:20: required from ‘atomic::Block atomic::Block::addIdentity() [with Type = double]’ 24 | I.setIdentity(); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:245:45: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 245 | matrix_pade E = AA.scale( c).addIdentity(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:34: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 453 | RealScalar scale = mat.cwiseAbs().maxCoeff(); | ~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 16, Eigen::OuterStride<> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:105:51: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 105 | Map > U(tempv.data(), u_rows, u_cols, OuterStride<>(ldu)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:139:25: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 139 | MappedMatrixBlock A(glu.lusup.data()+luptr, u_rows, u_rows, OuterStride<>(lda) ); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:140:55: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 140 | U = A.template triangularView().solve(U); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false>, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:168:53: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 168 | u = A.template triangularView().solve(u); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 732 | info = Base::column_bmod(jj, (nseg - nseg1), dense_k, tempv, segrep_k, repfnz_k, jcol, m_glu); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:22: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 172 | l.noalias() -= A * u; | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 732 | info = Base::column_bmod(jj, (nseg - nseg1), dense_k, tempv, segrep_k, repfnz_k, jcol, m_glu); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1040:66: required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = scalar_sum_op]’ 1040 | SparseMatrix trMat(mat.rows(),mat.cols()); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1110 | internal::set_from_triplets >(begin, end, *this, internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/spmat.hpp:61:22: required from ‘Eigen::SparseMatrix tmbutils::asSparseMatrix(matrix) [with Type = double]’ 61 | mat.setFromTriplets(tripletList.begin(), tripletList.end()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dsem.cpp:245:56: required from ‘Type objective_function::operator()() [with Type = double]’ 245 | Eigen::SparseMatrix Vinv2_kk = asSparseMatrix( Vinv_kk ); | ~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:398:143: required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator/=(const typename Eigen::internal::traits::Scalar&) [with _MatrixType = Eigen::Matrix; unsigned int _Mode = 1; TriangularViewType = Eigen::TriangularView, 1>; typename Eigen::internal::traits::Scalar = double]’ 398 | TriangularViewType& operator/=(const typename internal::traits::Scalar& other) { return *this = derived().nestedExpression() / other; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:455:40: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 455 | mat.template triangularView() /= scale; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:568:20: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ 568 | eivec.col(i).swap(eivec.col(k+i)); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>’ 50 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 255 | class Map, Options, StrideType> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:21:17: required from ‘Eigen::SparseMatrix pattern(const Eigen::SparseMatrix&, std::vector) [with NewType = double; OldType = TMBad::global::ad_aug]’ 21 | return Eigen::Map > (S.rows(), | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 22 | S.cols(), | ~~~~~~~~~ 23 | S.nonZeros(), | ~~~~~~~~~~~~~ 24 | S.outerIndexPtr(), | ~~~~~~~~~~~~~~~~~~ 25 | S.innerIndexPtr(), | ~~~~~~~~~~~~~~~~~~ 26 | x.data(), | ~~~~~~~~~ 27 | S.innerNonZeroPtr()); | ~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1332:64: required from ‘Type newton::log_determinant(const Eigen::SparseMatrix&, std::shared_ptr > > >) [with Type = TMBad::global::ad_aug]’ 1332 | TMBad::global::Complete > LD(pattern(H), ptr->llt); | ~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_sparse_t > >]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1555:25: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1555 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:166: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:148:65: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 148 | Index offset = (PacketSize-internal::first_default_aligned(B.data(), PacketSize)) % PacketSize; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:25: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ 261 | if(rd==1) MapVector(C+j*ldc+ib,actual_b) += B[0+d_end+j*ldb] * ConstMapVector(A+(d_end+0)*lda+ib, actual_b); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 152 | internal::sparselu_gemm(L.rows(), L.cols(), B.cols(), B.data(), B.outerStride(), U.data(), U.outerStride(), L.data(), L.outerStride()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 16, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:78: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ 261 | if(rd==1) MapVector(C+j*ldc+ib,actual_b) += B[0+d_end+j*ldb] * ConstMapVector(A+(d_end+0)*lda+ib, actual_b); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 152 | internal::sparselu_gemm(L.rows(), L.cols(), B.cols(), B.data(), B.outerStride(), U.data(), U.outerStride(), L.data(), L.outerStride()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:76: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ 261 | if(rd==1) MapVector(C+j*ldc+ib,actual_b) += B[0+d_end+j*ldb] * ConstMapVector(A+(d_end+0)*lda+ib, actual_b); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 152 | internal::sparselu_gemm(L.rows(), L.cols(), B.cols(), B.data(), B.outerStride(), U.data(), U.outerStride(), L.data(), L.outerStride()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:76: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ 261 | if(rd==1) MapVector(C+j*ldc+ib,actual_b) += B[0+d_end+j*ldb] * ConstMapVector(A+(d_end+0)*lda+ib, actual_b); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 152 | internal::sparselu_gemm(L.rows(), L.cols(), B.cols(), B.data(), B.outerStride(), U.data(), U.outerStride(), L.data(), L.outerStride()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:264:57: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ 263 | else if(rd==2) MapVector(C+j*ldc+ib,actual_b) += B[0+d_end+j*ldb] * ConstMapVector(A+(d_end+0)*lda+ib, actual_b) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 264 | + B[1+d_end+j*ldb] * ConstMapVector(A+(d_end+1)*lda+ib, actual_b); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 152 | internal::sparselu_gemm(L.rows(), L.cols(), B.cols(), B.data(), B.outerStride(), U.data(), U.outerStride(), L.data(), L.outerStride()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:268:57: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ 266 | else MapVector(C+j*ldc+ib,actual_b) += B[0+d_end+j*ldb] * ConstMapVector(A+(d_end+0)*lda+ib, actual_b) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 267 | + B[1+d_end+j*ldb] * ConstMapVector(A+(d_end+1)*lda+ib, actual_b) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 268 | + B[2+d_end+j*ldb] * ConstMapVector(A+(d_end+2)*lda+ib, actual_b); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 152 | internal::sparselu_gemm(L.rows(), L.cols(), B.cols(), B.data(), B.outerStride(), U.data(), U.outerStride(), L.data(), L.outerStride()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:58:94: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ 58 | Map, 0, OuterStride<> > A( &(lusup.data()[luptr]), segsize, segsize, OuterStride<>(lda) ); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:58:94: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ 58 | Map, 0, OuterStride<> > A( &(lusup.data()[luptr]), segsize, segsize, OuterStride<>(lda) ); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ 59 | Map > u(tempv.data(), segsize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ 59 | Map > u(tempv.data(), segsize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ 67 | Map, 0, OuterStride<> > B( &(lusup.data()[luptr]), nrow, segsize, OuterStride<>(lda) ); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ 67 | Map, 0, OuterStride<> > B( &(lusup.data()[luptr]), nrow, segsize, OuterStride<>(lda) ); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:70:52: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ 70 | Map, 0, OuterStride<> > l(tempv.data()+segsize+aligned_offset+aligned_with_B_offset, nrow, OuterStride<>(ldl) ); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >’ 18 | struct traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 0, Eigen::OuterStride<> > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:58:94: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ 58 | Map, 0, OuterStride<> > A( &(lusup.data()[luptr]), segsize, segsize, OuterStride<>(lda) ); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:58:94: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ 58 | Map, 0, OuterStride<> > A( &(lusup.data()[luptr]), segsize, segsize, OuterStride<>(lda) ); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:58:94: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ 58 | Map, 0, OuterStride<> > A( &(lusup.data()[luptr]), segsize, segsize, OuterStride<>(lda) ); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ 59 | Map > u(tempv.data(), segsize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:59:47: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ 59 | Map > u(tempv.data(), segsize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ 67 | Map, 0, OuterStride<> > B( &(lusup.data()[luptr]), nrow, segsize, OuterStride<>(lda) ); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:67:81: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ 67 | Map, 0, OuterStride<> > B( &(lusup.data()[luptr]), nrow, segsize, OuterStride<>(lda) ); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = -1; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:212:59: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 212 | else LU_kernel_bmod::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1181 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1063:7: required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = scalar_sum_op]’ 1063 | mat = trMat; | ~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1110 | internal::set_from_triplets >(begin, end, *this, internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/spmat.hpp:61:22: required from ‘Eigen::SparseMatrix tmbutils::asSparseMatrix(matrix) [with Type = double]’ 61 | mat.setFromTriplets(tripletList.begin(), tripletList.end()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dsem.cpp:245:56: required from ‘Type objective_function::operator()() [with Type = double]’ 245 | Eigen::SparseMatrix Vinv2_kk = asSparseMatrix( Vinv_kk ); | ~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dsem.cpp:372:24: required from ‘Type objective_function::operator()() [with Type = double]’ 372 | jnll -= loglik_tj.sum(); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:292:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >’ 292 | struct evaluator, Options, StrideType> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 687 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:21:17: required from ‘Eigen::SparseMatrix pattern(const Eigen::SparseMatrix&, std::vector) [with NewType = double; OldType = TMBad::global::ad_aug]’ 21 | return Eigen::Map > (S.rows(), | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 22 | S.cols(), | ~~~~~~~~~ 23 | S.nonZeros(), | ~~~~~~~~~~~~~ 24 | S.outerIndexPtr(), | ~~~~~~~~~~~~~~~~~~ 25 | S.innerIndexPtr(), | ~~~~~~~~~~~~~~~~~~ 26 | x.data(), | ~~~~~~~~~ 27 | S.innerNonZeroPtr()); | ~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1332:64: required from ‘Type newton::log_determinant(const Eigen::SparseMatrix&, std::shared_ptr > > >) [with Type = TMBad::global::ad_aug]’ 1332 | TMBad::global::Complete > LD(pattern(H), ptr->llt); | ~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_sparse_t > >]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1555:25: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1555 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:116:28: required from ‘static void Eigen::internal::LU_kernel_bmod<1>::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; Eigen::Index = long int]’ 116 | Scalar d0 = dense.coeff(i0); | ~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:106:31: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 106 | LU_kernel_bmod<1>::run(segsize, dense, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 732 | info = Base::column_bmod(jj, (nseg - nseg1), dense_k, tempv, segrep_k, repfnz_k, jcol, m_glu); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: required from ‘void Eigen::SparseSolverBase::_solve_impl(const Eigen::SparseMatrixBase&, Eigen::SparseMatrixBase&) const [with Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; Derived = Eigen::SparseLU, Eigen::COLAMDOrdering >]’ 113 | internal::solve_sparse_through_dense_panels(derived(), b.derived(), dest.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:236:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; DecType = Eigen::SparseLU, Eigen::COLAMDOrdering >; RhsType = Eigen::SparseMatrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >]’ 236 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >; Derived = Eigen::SparseMatrix]’ 37 | internal::Assignment > | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | ::run(derived(), other.derived(), internal::assign_op()); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1239 | return Base::operator=(other.derived()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ dsem.cpp:153:21: required from ‘Type objective_function::operator()() [with Type = double]’ 153 | invIminusRho_kk = inverseIminusRho_kk.solve(I_kk); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, -1, true> >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, -1>’ 96 | class sparse_matrix_block_impl | ^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Sparse>’ 306 | class BlockImpl,BlockRows,BlockCols,true,Sparse> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:38:46: required from ‘typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU, Eigen::COLAMDOrdering >; Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]’ 38 | tmp.leftCols(actualCols) = rhs.middleCols(k,actualCols); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: required from ‘void Eigen::SparseSolverBase::_solve_impl(const Eigen::SparseMatrixBase&, Eigen::SparseMatrixBase&) const [with Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; Derived = Eigen::SparseLU, Eigen::COLAMDOrdering >]’ 113 | internal::solve_sparse_through_dense_panels(derived(), b.derived(), dest.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:236:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; DecType = Eigen::SparseLU, Eigen::COLAMDOrdering >; RhsType = Eigen::SparseMatrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >]’ 236 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >; Derived = Eigen::SparseMatrix]’ 37 | internal::Assignment > | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | ::run(derived(), other.derived(), internal::assign_op()); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1239 | return Base::operator=(other.derived()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ dsem.cpp:153:21: required from ‘Type objective_function::operator()() [with Type = double]’ 153 | invIminusRho_kk = inverseIminusRho_kk.solve(I_kk); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::COLAMDOrdering >, Eigen::Block, -1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::COLAMDOrdering >, Eigen::Block, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::COLAMDOrdering >, Eigen::Block, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, Eigen::COLAMDOrdering >, Eigen::Block, -1, -1, true>, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Block, -1, -1, true> >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:39:42: required from ‘typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU, Eigen::COLAMDOrdering >; Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]’ 39 | tmpX.leftCols(actualCols) = dec.solve(tmp.leftCols(actualCols)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: required from ‘void Eigen::SparseSolverBase::_solve_impl(const Eigen::SparseMatrixBase&, Eigen::SparseMatrixBase&) const [with Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; Derived = Eigen::SparseLU, Eigen::COLAMDOrdering >]’ 113 | internal::solve_sparse_through_dense_panels(derived(), b.derived(), dest.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:236:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; DecType = Eigen::SparseLU, Eigen::COLAMDOrdering >; RhsType = Eigen::SparseMatrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >]’ 236 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >; Derived = Eigen::SparseMatrix]’ 37 | internal::Assignment > | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | ::run(derived(), other.derived(), internal::assign_op()); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1239 | return Base::operator=(other.derived()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ dsem.cpp:153:21: required from ‘Type objective_function::operator()() [with Type = double]’ 153 | invIminusRho_kk = inverseIminusRho_kk.solve(I_kk); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, -1, true> >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, -1>’ 96 | class sparse_matrix_block_impl | ^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Sparse>’ 287 | class BlockImpl,BlockRows,BlockCols,true,Sparse> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:40:20: required from ‘typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU, Eigen::COLAMDOrdering >; Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]’ 40 | dest.middleCols(k,actualCols) = tmpX.leftCols(actualCols).sparseView(); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: required from ‘void Eigen::SparseSolverBase::_solve_impl(const Eigen::SparseMatrixBase&, Eigen::SparseMatrixBase&) const [with Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; Derived = Eigen::SparseLU, Eigen::COLAMDOrdering >]’ 113 | internal::solve_sparse_through_dense_panels(derived(), b.derived(), dest.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:236:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; DecType = Eigen::SparseLU, Eigen::COLAMDOrdering >; RhsType = Eigen::SparseMatrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >]’ 236 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >; Derived = Eigen::SparseMatrix]’ 37 | internal::Assignment > | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | ::run(derived(), other.derived(), internal::assign_op()); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1239 | return Base::operator=(other.derived()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ dsem.cpp:153:21: required from ‘Type objective_function::operator()() [with Type = double]’ 153 | invIminusRho_kk = inverseIminusRho_kk.solve(I_kk); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, true> > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:45:7: required from ‘class Eigen::SparseView, -1, -1, true> >’ 45 | class SparseView : public SparseMatrixBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:40:73: required from ‘typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU, Eigen::COLAMDOrdering >; Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]’ 40 | dest.middleCols(k,actualCols) = tmpX.leftCols(actualCols).sparseView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: required from ‘void Eigen::SparseSolverBase::_solve_impl(const Eigen::SparseMatrixBase&, Eigen::SparseMatrixBase&) const [with Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; Derived = Eigen::SparseLU, Eigen::COLAMDOrdering >]’ 113 | internal::solve_sparse_through_dense_panels(derived(), b.derived(), dest.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:236:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; DecType = Eigen::SparseLU, Eigen::COLAMDOrdering >; RhsType = Eigen::SparseMatrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >]’ 236 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >; Derived = Eigen::SparseMatrix]’ 37 | internal::Assignment > | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | ::run(derived(), other.derived(), internal::assign_op()); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1239 | return Base::operator=(other.derived()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ dsem.cpp:153:21: required from ‘Type objective_function::operator()() [with Type = double]’ 153 | invIminusRho_kk = inverseIminusRho_kk.solve(I_kk); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Array; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Array; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:32:29: required from ‘Type atomic::Block::norm() [with Type = double]’ 32 | return rsAabs.maxCoeff(); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:237:37: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 237 | double log2NormInf = log( A.norm() ); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ 548 | internal::tridiagonal_qr_step(diag.data(), subdiag.data(), start, end, computeEigenvectors ? eivec.data() : (Scalar*)0, n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ 22 | class SparseTransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ 45 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:30:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:671:15: required from ‘void Eigen::SimplicialCholeskyBase::ordering(const MatrixType&, const CholMatrixType*&, CholMatrixType&) [with Derived = Eigen::SimplicialLLT >; MatrixType = Eigen::SparseMatrix; ConstCholMatrixPtr = const Eigen::SparseMatrix*; CholMatrixType = Eigen::SparseMatrix]’ 671 | ordering(C,m_Pinv); | ~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:208:7: required from ‘void Eigen::SimplicialCholeskyBase::compute(const MatrixType&) [with bool DoLDLT = false; Derived = Eigen::SimplicialLLT >; MatrixType = Eigen::SparseMatrix]’ 208 | ordering(matrix, pmat, tmp); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:374:36: required from ‘Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>& Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; int _UpLo = 1; _Ordering = Eigen::AMDOrdering; MatrixType = Eigen::SparseMatrix]’ 374 | Base::template compute(matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:97:24: required from ‘Eigen::SimplicialCholeskyBase::SimplicialCholeskyBase(const MatrixType&) [with Derived = Eigen::SimplicialLLT >; MatrixType = Eigen::SparseMatrix]’ 97 | derived().compute(matrix); | ~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:357:22: required from ‘Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>::SimplicialLLT(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; int _UpLo = 1; _Ordering = Eigen::AMDOrdering; MatrixType = Eigen::SparseMatrix]’ 357 | : Base(matrix) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1351:37: required from here 1351 | DEFAULT_SPARSE_FACTORIZATION llt(H); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:36:14: required from ‘void Eigen::internal::ordering_helper_at_plus_a(const MatrixType&, MatrixType&) [with MatrixType = Eigen::SparseMatrix]’ 36 | symmat = C + A; | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:63:42: required from ‘void Eigen::AMDOrdering::operator()(const MatrixType&, PermutationType&) [with MatrixType = Eigen::SparseMatrix; StorageIndex = int; PermutationType = Eigen::PermutationMatrix<-1, -1, int>]’ 63 | internal::ordering_helper_at_plus_a(mat,symm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:671:15: required from ‘void Eigen::SimplicialCholeskyBase::ordering(const MatrixType&, const CholMatrixType*&, CholMatrixType&) [with Derived = Eigen::SimplicialLLT >; MatrixType = Eigen::SparseMatrix; ConstCholMatrixPtr = const Eigen::SparseMatrix*; CholMatrixType = Eigen::SparseMatrix]’ 671 | ordering(C,m_Pinv); | ~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:208:7: required from ‘void Eigen::SimplicialCholeskyBase::compute(const MatrixType&) [with bool DoLDLT = false; Derived = Eigen::SimplicialLLT >; MatrixType = Eigen::SparseMatrix]’ 208 | ordering(matrix, pmat, tmp); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:374:36: required from ‘Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>& Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; int _UpLo = 1; _Ordering = Eigen::AMDOrdering; MatrixType = Eigen::SparseMatrix]’ 374 | Base::template compute(matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:97:24: required from ‘Eigen::SimplicialCholeskyBase::SimplicialCholeskyBase(const MatrixType&) [with Derived = Eigen::SimplicialLLT >; MatrixType = Eigen::SparseMatrix]’ 97 | derived().compute(matrix); | ~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:357:22: required from ‘Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>::SimplicialLLT(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; int _UpLo = 1; _Ordering = Eigen::AMDOrdering; MatrixType = Eigen::SparseMatrix]’ 357 | : Base(matrix) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1351:37: required from here 1351 | DEFAULT_SPARSE_FACTORIZATION llt(H); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::OuterStride<> > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::OuterStride<> > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::OuterStride<> >, 0>’ 50 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:83:34: required from ‘class Eigen::internal::SparseRefBase, 0, Eigen::OuterStride<> > >’ 83 | template class SparseRefBase | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:177:7: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ 177 | class Ref, Options, StrideType> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: required from ‘void Eigen::SparseSolverBase::_solve_impl(const Eigen::SparseMatrixBase&, Eigen::SparseMatrixBase&) const [with Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; Derived = Eigen::SparseLU, Eigen::COLAMDOrdering >]’ 113 | internal::solve_sparse_through_dense_panels(derived(), b.derived(), dest.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:236:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; DecType = Eigen::SparseLU, Eigen::COLAMDOrdering >; RhsType = Eigen::SparseMatrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >]’ 236 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >; Derived = Eigen::SparseMatrix]’ 37 | internal::Assignment > | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | ::run(derived(), other.derived(), internal::assign_op()); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1239 | return Base::operator=(other.derived()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ dsem.cpp:153:21: required from ‘Type objective_function::operator()() [with Type = double]’ 153 | invIminusRho_kk = inverseIminusRho_kk.solve(I_kk); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, -1, 1, true, Eigen::Sparse>’ 17 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:194:85: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseView, -1, -1, true> >; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = -1; BlockType = Eigen::Block, -1, -1, true>]’ 194 | StorageIndex nnz_k = internal::convert_index(tmp.innerVector(k).nonZeros()); | ~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:40:35: required from ‘typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU, Eigen::COLAMDOrdering >; Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]’ 40 | dest.middleCols(k,actualCols) = tmpX.leftCols(actualCols).sparseView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: required from ‘void Eigen::SparseSolverBase::_solve_impl(const Eigen::SparseMatrixBase&, Eigen::SparseMatrixBase&) const [with Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; Derived = Eigen::SparseLU, Eigen::COLAMDOrdering >]’ 113 | internal::solve_sparse_through_dense_panels(derived(), b.derived(), dest.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:236:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; DecType = Eigen::SparseLU, Eigen::COLAMDOrdering >; RhsType = Eigen::SparseMatrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >]’ 236 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >; Derived = Eigen::SparseMatrix]’ 37 | internal::Assignment > | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | ::run(derived(), other.derived(), internal::assign_op()); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1239 | return Base::operator=(other.derived()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ dsem.cpp:153:21: required from ‘Type objective_function::operator()() [with Type = double]’ 153 | invIminusRho_kk = inverseIminusRho_kk.solve(I_kk); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::MatrixWrapper >, 0> > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::MatrixWrapper >, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::MatrixWrapper >, 0> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::MatrixWrapper >, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::MatrixWrapper >, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:887:46: required from ‘density::GMRF_t::scalartype density::GMRF_t::Quadform(vectortype) [with scalartype_ = double; scalartype = double; vectortype = tmbutils::vector]’ 887 | return (x * (Q * x.matrix()).array()).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:890:57: required from ‘density::GMRF_t::scalartype density::GMRF_t::operator()(vectortype) [with scalartype_ = double; scalartype = double; vectortype = tmbutils::vector]’ 890 | return -scalartype(.5) * logdetQ + scalartype(.5) * Quadform(x) + x.size() * scalartype(log(sqrt(2.0 * M_PI))); | ^~~~~~~~ dsem.cpp:249:27: required from ‘Type objective_function::operator()() [with Type = double]’ 249 | jnll_gmrf = GMRF(Q_kk)( x_tj - xhat_tj - delta_tj ); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7: required from ‘Eigen::MapBase::ScalarWithConstIfNotLvalue& Eigen::MapBase::coeffRef(Eigen::Index) [with Derived = Eigen::Block, -1, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long int]’ 15 | EIGEN_STATIC_ASSERT((int(internal::evaluator::Flags) & LinearAccessBit) || Derived::IsVectorAtCompileTime, \ | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:25: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 367 | matA.col(i).coeffRef(i+1) = 1; | ~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block >, -1, 1, true>; VectorY = Eigen::Block >, -1, 1, true>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map >; Eigen::Index = long int]’ 315 | internal::apply_rotation_in_the_plane(x, y, j.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ 895 | q.applyOnTheRight(k,k+1,rot); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ 548 | internal::tridiagonal_qr_step(diag.data(), subdiag.data(), start, end, computeEigenvectors ? eivec.data() : (Scalar*)0, n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:364:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ 364 | struct evaluator, Options, StrideType> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:45:21: required from ‘Eigen::Index Eigen::BlockImpl::nonZeros() const [with XprType = Eigen::Ref, 0, Eigen::OuterStride<> >; int BlockRows = -1; int BlockCols = 1; Eigen::Index = long int]’ 45 | EvaluatorType matEval(m_matrix); | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:194:97: required from ‘Eigen::internal::sparse_matrix_block_impl::BlockType& Eigen::internal::sparse_matrix_block_impl::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseView, -1, -1, true> >; SparseMatrixType = Eigen::SparseMatrix; int BlockRows = -1; int BlockCols = -1; BlockType = Eigen::Block, -1, -1, true>]’ 194 | StorageIndex nnz_k = internal::convert_index(tmp.innerVector(k).nonZeros()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:40:35: required from ‘typename Eigen::internal::enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type Eigen::internal::solve_sparse_through_dense_panels(const Decomposition&, const Rhs&, Dest&) [with Decomposition = Eigen::SparseLU, Eigen::COLAMDOrdering >; Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; typename enable_if<((Rhs::ColsAtCompileTime != 1) && (Dest::ColsAtCompileTime != 1))>::type = void]’ 40 | dest.middleCols(k,actualCols) = tmpX.leftCols(actualCols).sparseView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: required from ‘void Eigen::SparseSolverBase::_solve_impl(const Eigen::SparseMatrixBase&, Eigen::SparseMatrixBase&) const [with Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; Derived = Eigen::SparseLU, Eigen::COLAMDOrdering >]’ 113 | internal::solve_sparse_through_dense_panels(derived(), b.derived(), dest.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:236:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; DecType = Eigen::SparseLU, Eigen::COLAMDOrdering >; RhsType = Eigen::SparseMatrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >]’ 236 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >; Derived = Eigen::SparseMatrix]’ 37 | internal::Assignment > | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | ::run(derived(), other.derived(), internal::assign_op()); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1239 | return Base::operator=(other.derived()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ dsem.cpp:153:21: required from ‘Type objective_function::operator()() [with Type = double]’ 153 | invIminusRho_kk = inverseIminusRho_kk.solve(I_kk); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 2>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, true>, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ dsem.cpp:172:65: required from ‘Type objective_function::operator()() [with Type = double]’ 172 | matrix margvar_k1 = invsquared_invIminusRho_kk.solve(sigma2_k1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 2>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, 1, true>, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ dsem.cpp:172:65: required from ‘Type objective_function::operator()() [with Type = double]’ 172 | matrix margvar_k1 = invsquared_invIminusRho_kk.solve(sigma2_k1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:333: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 87 | typedef typename Traits::LhsPacket LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 91 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 95 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl >, Eigen::SolverStorage>’ 68 | class InverseImpl | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse > >’ 43 | class Inverse : public InverseImpl::StorageKind> | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:43: required from ‘static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; int Size = -1]’ 28 | result = matrix.partialPivLu().inverse(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:36:36: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 453 | RealScalar scale = mat.cwiseAbs().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 93 | essential = tail / (c0 - beta); | ~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ 34 | (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ 35 | + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ 34 | (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 35 | + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:852:80: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ dsem.cpp:172:65: required from ‘Type objective_function::operator()() [with Type = double]’ 172 | matrix margvar_k1 = invsquared_invIminusRho_kk.solve(sigma2_k1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:854:53: required from ‘void Eigen::SparseLUMatrixUReturnType::solveInPlace(Eigen::MatrixBase&) const [with Dest = Eigen::Matrix; MatrixLType = Eigen::internal::MappedSuperNodalMatrix; MatrixUType = Eigen::MappedSparseMatrix]’ 854 | U = A.template triangularView().solve(U); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:331:35: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ dsem.cpp:172:65: required from ‘Type objective_function::operator()() [with Type = double]’ 172 | matrix margvar_k1 = invsquared_invIminusRho_kk.solve(sigma2_k1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:173:20: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Matrix >; OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/spmat.hpp:144:32: required from ‘tmbutils::matrix tmbutils::invertSparseMatrix(Eigen::SparseMatrix) [with Type = double]’ 144 | matrix ans = ldlt.solve(I); | ~~~~~~~~~~^~~ dsem.cpp:244:46: required from ‘Type objective_function::operator()() [with Type = double]’ 244 | matrix Vinv_kk = invertSparseMatrix( V_kk ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 5> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 5, Eigen::Sparse>’ 25 | template class TriangularViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 5>’ 187 | template class TriangularView | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:178:26: required from ‘void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLDLT >]’ 178 | derived().matrixL().solveInPlace(dest); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLDLT >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Matrix >; OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/spmat.hpp:144:32: required from ‘tmbutils::matrix tmbutils::invertSparseMatrix(Eigen::SparseMatrix) [with Type = double]’ 144 | matrix ans = ldlt.solve(I); | ~~~~~~~~~~^~~ dsem.cpp:244:46: required from ‘Type objective_function::operator()() [with Type = double]’ 244 | matrix Vinv_kk = invertSparseMatrix( V_kk ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47: required from ‘struct Eigen::internal::traits, const Eigen::Matrix > > >’ 278 | typedef typename DiagonalVectorType::Scalar Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Matrix >; OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/spmat.hpp:144:32: required from ‘tmbutils::matrix tmbutils::invertSparseMatrix(Eigen::SparseMatrix) [with Type = double]’ 144 | matrix ans = ldlt.solve(I); | ~~~~~~~~~~^~~ dsem.cpp:244:46: required from ‘Type objective_function::operator()() [with Type = double]’ 244 | matrix Vinv_kk = invertSparseMatrix( V_kk ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:181:46: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Matrix >; OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/spmat.hpp:144:32: required from ‘tmbutils::matrix tmbutils::invertSparseMatrix(Eigen::SparseMatrix) [with Type = double]’ 144 | matrix ans = ldlt.solve(I); | ~~~~~~~~~~^~~ dsem.cpp:244:46: required from ‘Type objective_function::operator()() [with Type = double]’ 244 | matrix Vinv_kk = invertSparseMatrix( V_kk ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 6> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>’ 25 | template class TriangularViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 6>’ 187 | template class TriangularView | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:184:26: required from ‘void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLDLT >]’ 184 | derived().matrixU().solveInPlace(dest); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLDLT >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve >, Eigen::Matrix >; OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/spmat.hpp:144:32: required from ‘tmbutils::matrix tmbutils::invertSparseMatrix(Eigen::SparseMatrix) [with Type = double]’ 144 | matrix ans = ldlt.solve(I); | ~~~~~~~~~~^~~ dsem.cpp:244:46: required from ‘Type objective_function::operator()() [with Type = double]’ 244 | matrix Vinv_kk = invertSparseMatrix( V_kk ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:330: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:147:40: required from ‘void Eigen::internal::evaluateProductBlockingSizesHeuristic(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]’ 147 | typedef typename Traits::ResScalar ResScalar; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:342:81: required from ‘void Eigen::internal::computeProductBlockingSizes(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]’ 342 | evaluateProductBlockingSizesHeuristic(k, m, n, num_threads); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:355:66: required from ‘Eigen::internal::gemm_blocking_space::gemm_blocking_space(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, bool) [with int StorageOrder = 0; _LhsScalar = double; _RhsScalar = double; int MaxRows = -1; int MaxCols = -1; int MaxDepth = -1; int KcFactor = 1; Eigen::Index = long int]’ 355 | computeProductBlockingSizes(this->m_kc, this->m_mc, this->m_nc, num_threads); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:507:18: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 507 | BlockingType blocking(dst.rows(), dst.cols(), lhs.cols(), 1, true); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 82 | gebp_kernel gebp; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 82 | gebp_kernel gebp; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 79 | Scalar c0 = coeff(0); | ~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 363 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 172 | l.noalias() -= A * u; | ~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 732 | info = Base::column_bmod(jj, (nseg - nseg1), dense_k, tempv, segrep_k, repfnz_k, jcol, m_glu); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 172 | l.noalias() -= A * u; | ~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 732 | info = Base::column_bmod(jj, (nseg - nseg1), dense_k, tempv, segrep_k, repfnz_k, jcol, m_glu); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:195:43: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, true> >, Eigen::internal::IndexBased, double>’ 195 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseView, -1, -1, true> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 687 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:231:7: required from ‘void Eigen::Ref, _Options, _StrideType>::construct(const Expression&, Eigen::internal::false_type) [with Expression = Eigen::SparseView, -1, -1, true> >; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ 231 | ::new (obj) TPlainObjectType(expr); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h:190:16: required from ‘Eigen::Ref, _Options, _StrideType>::Ref(const Eigen::SparseMatrixBase&) [with Derived = Eigen::SparseView, -1, -1, true> >; MatScalar = double; int MatOptions = 0; MatIndex = int; int Options = 0; StrideType = Eigen::OuterStride<>]’ 190 | construct(expr.derived(), typename Traits::template match::type()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:128:88: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: required from ‘void Eigen::SparseSolverBase::_solve_impl(const Eigen::SparseMatrixBase&, Eigen::SparseMatrixBase&) const [with Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; Derived = Eigen::SparseLU, Eigen::COLAMDOrdering >]’ 113 | internal::solve_sparse_through_dense_panels(derived(), b.derived(), dest.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:236:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; DecType = Eigen::SparseLU, Eigen::COLAMDOrdering >; RhsType = Eigen::SparseMatrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >]’ 236 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >; Derived = Eigen::SparseMatrix]’ 37 | internal::Assignment > | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | ::run(derived(), other.derived(), internal::assign_op()); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1239 | return Base::operator=(other.derived()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ dsem.cpp:153:21: required from ‘Type objective_function::operator()() [with Type = double]’ 153 | invIminusRho_kk = inverseIminusRho_kk.solve(I_kk); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:278:57: required from ‘void Eigen::internal::MappedSuperNodalMatrix<_Scalar, _StorageIndex>::solveInPlace(Eigen::MatrixBase&) const [with Dest = Eigen::Matrix; _Scalar = double; _StorageIndex = int]’ 278 | U = A.template triangularView().solve(U); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:809:24: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ dsem.cpp:172:65: required from ‘Type objective_function::operator()() [with Type = double]’ 172 | matrix margvar_k1 = invsquared_invIminusRho_kk.solve(sigma2_k1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:282:42: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ dsem.cpp:172:65: required from ‘Type objective_function::operator()() [with Type = double]’ 172 | matrix margvar_k1 = invsquared_invIminusRho_kk.solve(sigma2_k1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 184 | pack_lhs(blockA, lhs.getSubMapper(i2,k2), actual_kc, actual_mc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:195:21: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 195 | pack_rhs(blockB, rhs.getSubMapper(k2,j2), actual_kc, actual_nc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:198:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 198 | gebp(res.getSubMapper(i2, j2), blockA, blockB, actual_mc, actual_kc, actual_nc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:56:31: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:56:31: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:56:31: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:56:31: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:46: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 533 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 539 | double res=LUdiag.abs().log().sum(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 71 | CppAD::vector yd = ATOMIC_NAME(xd); \ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, -1, -1, true> > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:558:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, true>, Eigen::internal::IteratorBased, double>’ 558 | struct unary_evaluator,BlockRows,BlockCols,true>, IteratorBased> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from ‘struct Eigen::internal::block_evaluator, -1, -1, true, false>’ 1087 | struct block_evaluator | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true> >’ 1034 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:145:37: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::Block, -1, -1, true>; Functor = Eigen::internal::assign_op; Weak = void]’ 145 | internal::evaluator srcEval(src); | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: required from ‘void Eigen::SparseSolverBase::_solve_impl(const Eigen::SparseMatrixBase&, Eigen::SparseMatrixBase&) const [with Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; Derived = Eigen::SparseLU, Eigen::COLAMDOrdering >]’ 113 | internal::solve_sparse_through_dense_panels(derived(), b.derived(), dest.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:236:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; DecType = Eigen::SparseLU, Eigen::COLAMDOrdering >; RhsType = Eigen::SparseMatrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >]’ 236 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >; Derived = Eigen::SparseMatrix]’ 37 | internal::Assignment > | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | ::run(derived(), other.derived(), internal::assign_op()); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1239 | return Base::operator=(other.derived()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ dsem.cpp:153:21: required from ‘Type objective_function::operator()() [with Type = double]’ 153 | invIminusRho_kk = inverseIminusRho_kk.solve(I_kk); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:145:37: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::Block, -1, -1, true>; Functor = Eigen::internal::assign_op; Weak = void]’ 145 | internal::evaluator srcEval(src); | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Block, -1, -1, true>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Block, -1, -1, true>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Block, -1, -1, true>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: required from ‘void Eigen::SparseSolverBase::_solve_impl(const Eigen::SparseMatrixBase&, Eigen::SparseMatrixBase&) const [with Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; Derived = Eigen::SparseLU, Eigen::COLAMDOrdering >]’ 113 | internal::solve_sparse_through_dense_panels(derived(), b.derived(), dest.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:236:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; DecType = Eigen::SparseLU, Eigen::COLAMDOrdering >; RhsType = Eigen::SparseMatrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >]’ 236 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >; Derived = Eigen::SparseMatrix]’ 37 | internal::Assignment > | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | ::run(derived(), other.derived(), internal::assign_op()); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1239 | return Base::operator=(other.derived()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ dsem.cpp:153:21: required from ‘Type objective_function::operator()() [with Type = double]’ 153 | invIminusRho_kk = inverseIminusRho_kk.solve(I_kk); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Array]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:210:31: required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 210 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:24:22: required from ‘tmbutils::vector::vector(T1) [with T1 = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Type = double]’ 24 | vector(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:31:47: required from ‘Type atomic::Block::norm() [with Type = double]’ 31 | vector rsAabs = Aabs.rowwise().sum(); | ~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:237:37: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 237 | double log2NormInf = log( A.norm() ); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 2, -1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from ‘PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]’ 217 | PanelEvaluator panel_eval(panel); | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ 681 | m_functor.template assignPacket(&m_dst.coeffRef(index), m_src.template packet(index)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75: required from ‘static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >, Eigen::internal::assign_op, 0>]’ 437 | kernel.template assignPacket(index); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::PartialReduxExpr, member_sum, 1>; Functor = assign_op]’ 785 | dense_assignment_loop::run(kernel); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Array]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:210:31: required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 210 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:24:22: required from ‘tmbutils::vector::vector(T1) [with T1 = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Type = double]’ 24 | vector(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:31:47: required from ‘Type atomic::Block::norm() [with Type = double]’ 31 | vector rsAabs = Aabs.rowwise().sum(); | ~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:237:37: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 237 | double log2NormInf = log( A.norm() ); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 366 | dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]’ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:56:31: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:56:31: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 366 | dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]’ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 172 | l.noalias() -= A * u; | ~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 732 | info = Base::column_bmod(jj, (nseg - nseg1), dense_k, tempv, segrep_k, repfnz_k, jcol, m_glu); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 172 | l.noalias() -= A * u; | ~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 732 | info = Base::column_bmod(jj, (nseg - nseg1), dense_k, tempv, segrep_k, repfnz_k, jcol, m_glu); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: required from ‘void Eigen::SparseSolverBase::_solve_impl(const Eigen::SparseMatrixBase&, Eigen::SparseMatrixBase&) const [with Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; Derived = Eigen::SparseLU, Eigen::COLAMDOrdering >]’ 113 | internal::solve_sparse_through_dense_panels(derived(), b.derived(), dest.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:236:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; DecType = Eigen::SparseLU, Eigen::COLAMDOrdering >; RhsType = Eigen::SparseMatrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >]’ 236 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >; Derived = Eigen::SparseMatrix]’ 37 | internal::Assignment > | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | ::run(derived(), other.derived(), internal::assign_op()); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1239 | return Base::operator=(other.derived()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ dsem.cpp:153:21: required from ‘Type objective_function::operator()() [with Type = double]’ 153 | invIminusRho_kk = inverseIminusRho_kk.solve(I_kk); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, -1, true>, -1, 1, true>, 2>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, -1, true>, -1, 1, true>, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, -1, true>, -1, 1, true>, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, -1, true>, -1, 1, true>, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, -1, true>, -1, 1, true>, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, -1, true>, -1, 1, true>, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: required from ‘void Eigen::SparseSolverBase::_solve_impl(const Eigen::SparseMatrixBase&, Eigen::SparseMatrixBase&) const [with Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; Derived = Eigen::SparseLU, Eigen::COLAMDOrdering >]’ 113 | internal::solve_sparse_through_dense_panels(derived(), b.derived(), dest.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:236:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; DecType = Eigen::SparseLU, Eigen::COLAMDOrdering >; RhsType = Eigen::SparseMatrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >]’ 236 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >; Derived = Eigen::SparseMatrix]’ 37 | internal::Assignment > | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | ::run(derived(), other.derived(), internal::assign_op()); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1239 | return Base::operator=(other.derived()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ dsem.cpp:153:21: required from ‘Type objective_function::operator()() [with Type = double]’ 153 | invIminusRho_kk = inverseIminusRho_kk.solve(I_kk); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, true>, -1, 1, true>, 2>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, true>, -1, 1, true>, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, true>, -1, 1, true>, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, true>, -1, 1, true>, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, true>, -1, 1, true>, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, true>, -1, 1, true>, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: required from ‘void Eigen::SparseSolverBase::_solve_impl(const Eigen::SparseMatrixBase&, Eigen::SparseMatrixBase&) const [with Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; Derived = Eigen::SparseLU, Eigen::COLAMDOrdering >]’ 113 | internal::solve_sparse_through_dense_panels(derived(), b.derived(), dest.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:236:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; DecType = Eigen::SparseLU, Eigen::COLAMDOrdering >; RhsType = Eigen::SparseMatrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >]’ 236 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >; Derived = Eigen::SparseMatrix]’ 37 | internal::Assignment > | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | ::run(derived(), other.derived(), internal::assign_op()); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1239 | return Base::operator=(other.derived()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ dsem.cpp:153:21: required from ‘Type objective_function::operator()() [with Type = double]’ 153 | invIminusRho_kk = inverseIminusRho_kk.solve(I_kk); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 81 | gemm_pack_rhs pack_rhs; | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<-1, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<-1, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<-1, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]’ 288 | typename internal::enable_if::MatchAtCompileTime),Derived>::type* = 0); | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 463 | BlockType A_0 = lu.block(0,0,rows,k); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:30: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 78 | RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:56:31: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:56:31: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:56:31: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:56:31: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 377 | = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> >; Derived = Eigen::Block, -1, 1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:168:7: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 168 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 732 | info = Base::column_bmod(jj, (nseg - nseg1), dense_k, tempv, segrep_k, repfnz_k, jcol, m_glu); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> >; Derived = Eigen::Block, -1, 1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:168:7: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 168 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 732 | info = Base::column_bmod(jj, (nseg - nseg1), dense_k, tempv, segrep_k, repfnz_k, jcol, m_glu); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 5; bool Conjugate = false]’ 125 | Map >(rhs+s,r) -= rhs[i] * cjLhs.col(i).segment(s,r); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> >; Derived = Eigen::Block, -1, 1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:168:7: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 168 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 732 | info = Base::column_bmod(jj, (nseg - nseg1), dense_k, tempv, segrep_k, repfnz_k, jcol, m_glu); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 172 | l.noalias() -= A * u; | ~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 732 | info = Base::column_bmod(jj, (nseg - nseg1), dense_k, tempv, segrep_k, repfnz_k, jcol, m_glu); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 172 | l.noalias() -= A * u; | ~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 732 | info = Base::column_bmod(jj, (nseg - nseg1), dense_k, tempv, segrep_k, repfnz_k, jcol, m_glu); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, const Eigen::Block > >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, const Eigen::Block > >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, const Eigen::Block > >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, const Eigen::Block > >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, const Eigen::Block > >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, const Eigen::Block > >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval > >, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl > >, const Eigen::Block > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, Eigen::Transpose > >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true>, Eigen::Transpose > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true>, Eigen::Transpose > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, 1, -1, true>, Eigen::Transpose > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, 1, -1, true>, Eigen::Transpose > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, 1, -1, true>, Eigen::Transpose > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval > >, 1, -1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl > >, 1, -1, true>, Eigen::Transpose > >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block > >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block > >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block > >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block > >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block > >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block > >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, Eigen::Transpose > >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false>, Eigen::Transpose > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false>, Eigen::Transpose > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, false>, Eigen::Transpose > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, false>, Eigen::Transpose > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, false>, Eigen::Transpose > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, 1, -1, false>, Eigen::Transpose > >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, const Eigen::Block >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, const Eigen::Block >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, const Eigen::Block >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, const Eigen::Block >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, const Eigen::Block >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, const Eigen::Block >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl > >, const Eigen::Block >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, Eigen::Map >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true>, Eigen::Map >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true>, Eigen::Map >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, 1, -1, true>, Eigen::Map >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, 1, -1, true>, Eigen::Map >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, 1, -1, true>, Eigen::Map >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, Eigen::Map >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false>, Eigen::Map >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false>, Eigen::Map >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, false>, Eigen::Map >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, false>, Eigen::Map >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, false>, Eigen::Map >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:587:39: required from ‘static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op::Scalar>&) [with DstXprType = Eigen::Matrix; MatrixType = Eigen::Matrix; SrcXprType = Eigen::Inverse > >; typename DstXprType::Scalar = double; typename Eigen::PartialPivLU::Scalar = double]’ 587 | dst = src.nestedExpression().solve(MatrixType::Identity(src.rows(), src.cols())); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:36:36: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:337: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]’ 227 | internal::selfadjoint_matrix_vector_product::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’ 805 | selfadjoint_product_impl::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 62 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 63 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 155 | pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 16, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Map, 16, Eigen::OuterStride<> >; _MatrixType = Eigen::Map, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 16, Eigen::OuterStride<> >; _MatrixType = Eigen::Map, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Map, 16, Eigen::OuterStride<> >; DstType = Eigen::Map, 16, Eigen::OuterStride<> >; _MatrixType = Eigen::Map, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 552 | this->solveInPlace(dst); | ~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> > >; Derived = Eigen::Map, 16, Eigen::OuterStride<> >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:140:9: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 140 | U = A.template triangularView().solve(U); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 2, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 0; int Size = 2]’ 124 | rhs.coeffRef(DiagIndex) -= lhs.row(DiagIndex).template segment(StartIndex).transpose() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 125 | .cwiseProduct(rhs.template segment(StartIndex)).sum(); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:142:75: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 3, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 0; int Size = 3]’ 124 | rhs.coeffRef(DiagIndex) -= lhs.row(DiagIndex).template segment(StartIndex).transpose() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 125 | .cwiseProduct(rhs.template segment(StartIndex)).sum(); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:142:75: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ dsem.cpp:172:65: required from ‘Type objective_function::operator()() [with Type = double]’ 172 | matrix margvar_k1 = invsquared_invIminusRho_kk.solve(sigma2_k1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >’ 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ dsem.cpp:172:65: required from ‘Type objective_function::operator()() [with Type = double]’ 172 | matrix margvar_k1 = invsquared_invIminusRho_kk.solve(sigma2_k1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ dsem.cpp:172:65: required from ‘Type objective_function::operator()() [with Type = double]’ 172 | matrix margvar_k1 = invsquared_invIminusRho_kk.solve(sigma2_k1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ dsem.cpp:172:65: required from ‘Type objective_function::operator()() [with Type = double]’ 172 | matrix margvar_k1 = invsquared_invIminusRho_kk.solve(sigma2_k1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ dsem.cpp:172:65: required from ‘Type objective_function::operator()() [with Type = double]’ 172 | matrix margvar_k1 = invsquared_invIminusRho_kk.solve(sigma2_k1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ dsem.cpp:172:65: required from ‘Type objective_function::operator()() [with Type = double]’ 172 | matrix margvar_k1 = invsquared_invIminusRho_kk.solve(sigma2_k1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ dsem.cpp:172:65: required from ‘Type objective_function::operator()() [with Type = double]’ 172 | matrix margvar_k1 = invsquared_invIminusRho_kk.solve(sigma2_k1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ dsem.cpp:172:65: required from ‘Type objective_function::operator()() [with Type = double]’ 172 | matrix margvar_k1 = invsquared_invIminusRho_kk.solve(sigma2_k1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ dsem.cpp:172:65: required from ‘Type objective_function::operator()() [with Type = double]’ 172 | matrix margvar_k1 = invsquared_invIminusRho_kk.solve(sigma2_k1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ dsem.cpp:172:65: required from ‘Type objective_function::operator()() [with Type = double]’ 172 | matrix margvar_k1 = invsquared_invIminusRho_kk.solve(sigma2_k1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ dsem.cpp:172:65: required from ‘Type objective_function::operator()() [with Type = double]’ 172 | matrix margvar_k1 = invsquared_invIminusRho_kk.solve(sigma2_k1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Transpose > >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Transpose > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Transpose > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Transpose > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Transpose > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Transpose > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, 1, -1, true>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, 1, -1, true>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose > >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Map >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Map >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Map >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Map >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Map >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Map >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Map >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Map >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Map >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Map >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Map >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Map >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 169 | this->col(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 131 | this->row(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:56:31: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 1; int Size = 2]’ 124 | rhs.coeffRef(DiagIndex) -= lhs.row(DiagIndex).template segment(StartIndex).transpose() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 125 | .cwiseProduct(rhs.template segment(StartIndex)).sum(); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 1; int Size = 3]’ 124 | rhs.coeffRef(DiagIndex) -= lhs.row(DiagIndex).template segment(StartIndex).transpose() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 125 | .cwiseProduct(rhs.template segment(StartIndex)).sum(); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ dsem.cpp:172:65: required from ‘Type objective_function::operator()() [with Type = double]’ 172 | matrix margvar_k1 = invsquared_invIminusRho_kk.solve(sigma2_k1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ dsem.cpp:172:65: required from ‘Type objective_function::operator()() [with Type = double]’ 172 | matrix margvar_k1 = invsquared_invIminusRho_kk.solve(sigma2_k1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ dsem.cpp:172:65: required from ‘Type objective_function::operator()() [with Type = double]’ 172 | matrix margvar_k1 = invsquared_invIminusRho_kk.solve(sigma2_k1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 2; int Size = 3]’ 124 | rhs.coeffRef(DiagIndex) -= lhs.row(DiagIndex).template segment(StartIndex).transpose() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 125 | .cwiseProduct(rhs.template segment(StartIndex)).sum(); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:907:22: required from ‘void Eigen::internal::call_restricted_packet_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1>; Func = assign_op]’ 907 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:47: required from ‘static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::false_type) [with Dst = Eigen::Block, -1, -1, false>; LhsT = Eigen::Map, 0, Eigen::OuterStride<> >; RhsT = Eigen::Map, 0, Eigen::OuterStride<> >; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >]’ 462 | call_restricted_packet_assignment_no_alias(dst, lhs.lazyProduct(rhs), func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22: required from ‘static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const Lhs&, const Rhs&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Func = Eigen::internal::assign_op; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >]’ 446 | eval_dynamic_impl(dst, | ~~~~~~~~~~~~~~~~~^~~~~ 447 | blas_traits::extract(lhs).template conjugateIf(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | blas_traits::extract(rhs).template conjugateIf(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 449 | func, | ~~~~~ 450 | actualAlpha, | ~~~~~~~~~~~~ 451 | typename conditional::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >]’ 441 | lazyproduct::eval_dynamic(dst, lhs, rhs, internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ dsem.cpp:172:65: required from ‘Type objective_function::operator()() [with Type = double]’ 172 | matrix margvar_k1 = invsquared_invIminusRho_kk.solve(sigma2_k1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ dsem.cpp:172:65: required from ‘Type objective_function::operator()() [with Type = double]’ 172 | matrix margvar_k1 = invsquared_invIminusRho_kk.solve(sigma2_k1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ dsem.cpp:172:65: required from ‘Type objective_function::operator()() [with Type = double]’ 172 | matrix margvar_k1 = invsquared_invIminusRho_kk.solve(sigma2_k1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ dsem.cpp:172:65: required from ‘Type objective_function::operator()() [with Type = double]’ 172 | matrix margvar_k1 = invsquared_invIminusRho_kk.solve(sigma2_k1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>; U = Eigen::Block > >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block > >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>; U = Eigen::Block > >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>, 1, -1, true>; U = Eigen::Block > >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 73 | triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, false> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, 1, -1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:483:24: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, true>, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1003:59: required from ‘struct Eigen::internal::permutation_matrix_product, -1, -1, true>, -1, 1, true>, 1, false, Eigen::DenseShape>’ 1003 | typedef typename nested_eval::type MatrixType; | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1063:72: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::Block, -1, -1, true>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, -1, -1, true>, -1, 1, true>; int ProductTag = 7; MatrixShape = Eigen::DenseShape]’ 1063 | permutation_matrix_product::run(dst, lhs, rhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>, -1, 1, true>; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::Block, -1, -1, true>, -1, 1, true>; int Options = 2; Scalar = double; SrcXprType = Eigen::Product, Eigen::Block, -1, -1, true>, -1, 1, true>, 2>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>, -1, 1, true>; Src = Eigen::Product, Eigen::Block, -1, -1, true>, -1, 1, true>, 2>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: required from ‘void Eigen::SparseSolverBase::_solve_impl(const Eigen::SparseMatrixBase&, Eigen::SparseMatrixBase&) const [with Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; Derived = Eigen::SparseLU, Eigen::COLAMDOrdering >]’ 113 | internal::solve_sparse_through_dense_panels(derived(), b.derived(), dest.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:236:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; DecType = Eigen::SparseLU, Eigen::COLAMDOrdering >; RhsType = Eigen::SparseMatrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >]’ 236 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >; Derived = Eigen::SparseMatrix]’ 37 | internal::Assignment > | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | ::run(derived(), other.derived(), internal::assign_op()); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1239 | return Base::operator=(other.derived()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ dsem.cpp:153:21: required from ‘Type objective_function::operator()() [with Type = double]’ 153 | invIminusRho_kk = inverseIminusRho_kk.solve(I_kk); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ dsem.cpp:172:65: required from ‘Type objective_function::operator()() [with Type = double]’ 172 | matrix margvar_k1 = invsquared_invIminusRho_kk.solve(sigma2_k1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ dsem.cpp:172:65: required from ‘Type objective_function::operator()() [with Type = double]’ 172 | matrix margvar_k1 = invsquared_invIminusRho_kk.solve(sigma2_k1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ dsem.cpp:172:65: required from ‘Type objective_function::operator()() [with Type = double]’ 172 | matrix margvar_k1 = invsquared_invIminusRho_kk.solve(sigma2_k1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ dsem.cpp:172:65: required from ‘Type objective_function::operator()() [with Type = double]’ 172 | matrix margvar_k1 = invsquared_invIminusRho_kk.solve(sigma2_k1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 184 | pack_lhs(blockA, lhs.getSubMapper(i2,k2), actual_kc, actual_mc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose > >, Eigen::Transpose > >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > >; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 274 | evaluator rhsEval(rhs); | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]’ 329 | internal::outer_product_selector_run(dst, lhs, rhs, sub(), is_row_major()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]’ 178 | generic_product_impl::subTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> >; Derived = Eigen::Block, -1, 1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:168:7: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 168 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 732 | info = Base::column_bmod(jj, (nseg - nseg1), dense_k, tempv, segrep_k, repfnz_k, jcol, m_glu); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> >; Derived = Eigen::Block, -1, 1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:168:7: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 168 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 732 | info = Base::column_bmod(jj, (nseg - nseg1), dense_k, tempv, segrep_k, repfnz_k, jcol, m_glu); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ dsem.cpp:146:30: required from ‘Type objective_function::operator()() [with Type = double]’ 146 | inverseIminusRho_kk.compute(IminusRho_kk); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, 1, true>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, 1, true>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, 1, true>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: required from ‘void Eigen::SparseSolverBase::_solve_impl(const Eigen::SparseMatrixBase&, Eigen::SparseMatrixBase&) const [with Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; Derived = Eigen::SparseLU, Eigen::COLAMDOrdering >]’ 113 | internal::solve_sparse_through_dense_panels(derived(), b.derived(), dest.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:236:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; DecType = Eigen::SparseLU, Eigen::COLAMDOrdering >; RhsType = Eigen::SparseMatrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >]’ 236 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >; Derived = Eigen::SparseMatrix]’ 37 | internal::Assignment > | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | ::run(derived(), other.derived(), internal::assign_op()); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1239 | return Base::operator=(other.derived()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ dsem.cpp:153:21: required from ‘Type objective_function::operator()() [with Type = double]’ 153 | invIminusRho_kk = inverseIminusRho_kk.solve(I_kk); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, 1, true>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, 1, true>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, 1, true>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true>, -1, 1, true>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: required from ‘void Eigen::SparseSolverBase::_solve_impl(const Eigen::SparseMatrixBase&, Eigen::SparseMatrixBase&) const [with Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; Derived = Eigen::SparseLU, Eigen::COLAMDOrdering >]’ 113 | internal::solve_sparse_through_dense_panels(derived(), b.derived(), dest.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:236:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; DecType = Eigen::SparseLU, Eigen::COLAMDOrdering >; RhsType = Eigen::SparseMatrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >]’ 236 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >; Derived = Eigen::SparseMatrix]’ 37 | internal::Assignment > | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | ::run(derived(), other.derived(), internal::assign_op()); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1239 | return Base::operator=(other.derived()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ dsem.cpp:153:21: required from ‘Type objective_function::operator()() [with Type = double]’ 153 | invIminusRho_kk = inverseIminusRho_kk.solve(I_kk); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, 1, -1, true>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 182 | return coeff(index); | ~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block, -1, 1, true>, 1, 1, false>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ dsem.cpp:172:65: required from ‘Type objective_function::operator()() [with Type = double]’ 172 | matrix margvar_k1 = invsquared_invIminusRho_kk.solve(sigma2_k1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ dsem.cpp:172:65: required from ‘Type objective_function::operator()() [with Type = double]’ 172 | matrix margvar_k1 = invsquared_invIminusRho_kk.solve(sigma2_k1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ dsem.cpp:172:65: required from ‘Type objective_function::operator()() [with Type = double]’ 172 | matrix margvar_k1 = invsquared_invIminusRho_kk.solve(sigma2_k1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose > >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose > >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map >; Rhs = Eigen::Map >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >; Rhs = Eigen::Transpose, -1, 1, false> >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ dsem.cpp:172:65: required from ‘Type objective_function::operator()() [with Type = double]’ 172 | matrix margvar_k1 = invsquared_invIminusRho_kk.solve(sigma2_k1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ dsem.cpp:172:65: required from ‘Type objective_function::operator()() [with Type = double]’ 172 | matrix margvar_k1 = invsquared_invIminusRho_kk.solve(sigma2_k1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>; Derived = Eigen::Block > >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:36:36: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true>, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: required from ‘void Eigen::SparseSolverBase::_solve_impl(const Eigen::SparseMatrixBase&, Eigen::SparseMatrixBase&) const [with Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; Derived = Eigen::SparseLU, Eigen::COLAMDOrdering >]’ 113 | internal::solve_sparse_through_dense_panels(derived(), b.derived(), dest.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:236:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; DecType = Eigen::SparseLU, Eigen::COLAMDOrdering >; RhsType = Eigen::SparseMatrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >]’ 236 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >; Derived = Eigen::SparseMatrix]’ 37 | internal::Assignment > | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | ::run(derived(), other.derived(), internal::assign_op()); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1239 | return Base::operator=(other.derived()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ dsem.cpp:153:21: required from ‘Type objective_function::operator()() [with Type = double]’ 153 | invIminusRho_kk = inverseIminusRho_kk.solve(I_kk); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator > >, Eigen::Map >, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ 654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col)); | ~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ 194 | ::run(rhs.transpose(),lhs.transpose(), dstT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 150 | Matrix triangularBuffer(a); | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 0> >’ 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 153 | triangularBuffer.diagonal().setZero(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = TMBad::global::ad_aug]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1370:24: required from ‘Type newton::log_determinant(const matrix&, PTR) [with Type = TMBad::global::ad_aug; PTR = std::shared_ptr >]’ 1370 | return atomic::logdet(tmbutils::matrix(H)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_dense_t<>]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1570:23: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1570 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true>, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, -1, true>, -1, 1, true>, 1, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h:113:50: required from ‘void Eigen::SparseSolverBase::_solve_impl(const Eigen::SparseMatrixBase&, Eigen::SparseMatrixBase&) const [with Rhs = Eigen::SparseMatrix; Dest = Eigen::SparseMatrix; Derived = Eigen::SparseLU, Eigen::COLAMDOrdering >]’ 113 | internal::solve_sparse_through_dense_panels(derived(), b.derived(), dest.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:236:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Sparse2Sparse>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; DecType = Eigen::SparseLU, Eigen::COLAMDOrdering >; RhsType = Eigen::SparseMatrix; Scalar = double; SrcXprType = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >]’ 236 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >; Derived = Eigen::SparseMatrix]’ 37 | internal::Assignment > | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | ::run(derived(), other.derived(), internal::assign_op()); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::SparseMatrix >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1239 | return Base::operator=(other.derived()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ dsem.cpp:153:21: required from ‘Type objective_function::operator()() [with Type = double]’ 153 | invIminusRho_kk = inverseIminusRho_kk.solve(I_kk); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ 341 | dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:119:18: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ 137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ 654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col)); | ~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1050:11: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:36:36: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ 137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 39 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:36:36: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1171:20: required from ‘void newton::NewtonOperator::reverse(TMBad::ReverseArgs&) [with T = double; Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1171 | vector w2 = - hessian -> solve(hessian, hv, w); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1173:36: required from ‘void newton::NewtonOperator::reverse(TMBad::ReverseArgs&) [with T = double; Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1173 | args.dx_segment(0, n) += g.tail(n); | ~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:85:17: required from ‘newton::vector::vector(const std::vector&) [with Type = double]’ 85 | Base(Eigen::Map (x.data(), x.size())) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1154:44: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1154 | vector sol = function.DomainVec(); | ~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:171:40: required from ‘newton::vector newton::HessianSolveVector::solve(const newton::vector&, const newton::vector&) [with Hessian_Type = newton::jacobian_sparse_t > >]’ 171 | matrix xm = x.matrix(); | ~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:191:33: required from ‘void newton::HessianSolveVector::forward(TMBad::ForwardArgs&) [with Hessian_Type = newton::jacobian_sparse_t > >]’ 191 | args.y_segment(0, n) = solve(h, x); | ~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::HessianSolveVector > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1059:51: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1059 | vector diag_cpy = H.diagonal().array(); | ~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:733:15: required from ‘newton::vector newton::jacobian_sparse_plus_lowrank_t::solve(std::shared_ptr >, const newton::vector&, const newton::vector&) [with T = double; Fac = Eigen::SimplicialLDLT >]’ 733 | return y1 - y2; | ~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1171:38: required from ‘void newton::NewtonOperator::reverse(TMBad::ReverseArgs&) [with T = double; Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1171 | vector w2 = - hessian -> solve(hessian, hv, w); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/simplicial_inverse_subset.hpp:152:11: required from ‘Eigen::SimplicialInverseSubset::SpMat Eigen::SimplicialInverseSubset::operator()(SpMat) [with T = double; SpMat = Eigen::SparseMatrix]’ 152 | x = x * 0; | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1293:18: required from ‘void newton::LogDetOperator::reverse(TMBad::ReverseArgs&) [with Factorization = Eigen::SimplicialLLT >]’ 1293 | ih = ihessian(ih); | ~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::LogDetOperator<>]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:277:22: required from ‘newton::matrix newton::jacobian_dense_t::llt_solve(const newton::matrix&, const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 277 | return llt->solve(x); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 5>, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 5>, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 5>, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:629:36: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 629 | R = (*(H->llt)).matrixL().solve(R); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:656:32: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 656 | matrix Rtmp = Dtmp * Rpos; | ~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Inverse >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Inverse >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Inverse >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Inverse >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Inverse >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:674:40: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 674 | matrix S2 = (h.H0.inverse()+T).inverse(); | ~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Inverse >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Inverse >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Inverse >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl, const Eigen::Inverse >, const Eigen::Matrix >, Eigen::Dense>’ 68 | class InverseImpl | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse, const Eigen::Inverse >, const Eigen::Matrix > >’ 43 | class Inverse : public InverseImpl::StorageKind> | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:674:51: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 674 | matrix S2 = (h.H0.inverse()+T).inverse(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:675:67: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 675 | matrix Test2 = AXAT(Rneg, h.H0) - AXAT(Rneg, h.H0, T) + AXAT(Rneg, h.H0, T, S2); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:38: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:72: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:50: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:383:22: required from ‘newton::matrix newton::jacobian_sparse_t::llt_solve(const Eigen::SparseMatrix&, const newton::matrix&) [with Factorization = Eigen::SimplicialLLT >]’ 383 | return llt->solve(x); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:173:51: required from ‘newton::vector newton::HessianSolveVector::solve(const newton::vector&, const newton::vector&) [with Hessian_Type = newton::jacobian_sparse_t > >]’ 173 | vector y = hessian -> llt_solve(H, xm).vec(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:191:33: required from ‘void newton::HessianSolveVector::forward(TMBad::ForwardArgs&) [with Hessian_Type = newton::jacobian_sparse_t > >]’ 191 | args.y_segment(0, n) = solve(h, x); | ~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::HessianSolveVector > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:629:36: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLLT >]’ 629 | R = (*(H->llt)).matrixL().solve(R); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:164:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator[](Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’ 164 | return coeff(index); | ~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:245:46: required from ‘TMBad::segment_ref& TMBad::segment_ref::operator+=(const Other&) [with Other = Eigen::VectorBlock, -1>; Args = TMBad::ReverseArgs; TMBad::ArrayAccess What = TMBad::dx_write]’ 245 | element_access(args, from + i) += other[i]; | ~~~~~^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1173:27: required from ‘void newton::NewtonOperator::reverse(TMBad::ReverseArgs&) [with T = double; Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1173 | args.dx_segment(0, n) += g.tail(n); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Matrix, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, Eigen::Matrix, 0> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:549:37: required from ‘T newton::jacobian_sparse_plus_lowrank_t::sparse_plus_lowrank::diagonal_min() const [with T = double; Fac = Eigen::SimplicialLDLT >]’ 549 | vector D2 = ((G * H0).array() * G.array()).rowwise().sum(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:127:24: required from ‘typename MatrixType::value_type newton::diagonal_min(const MatrixType&) [with MatrixType = jacobian_sparse_plus_lowrank_t > >::sparse_plus_lowrank; typename MatrixType::value_type = double]’ 127 | return M.diagonal_min(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1061:30: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1061 | Scalar m = diagonal_min(H); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:549:40: required from ‘T newton::jacobian_sparse_plus_lowrank_t::sparse_plus_lowrank::diagonal_min() const [with T = double; Fac = Eigen::SimplicialLDLT >]’ 549 | vector D2 = ((G * H0).array() * G.array()).rowwise().sum(); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:127:24: required from ‘typename MatrixType::value_type newton::diagonal_min(const MatrixType&) [with MatrixType = jacobian_sparse_plus_lowrank_t > >::sparse_plus_lowrank; typename MatrixType::value_type = double]’ 127 | return M.diagonal_min(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1061:30: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1061 | Scalar m = diagonal_min(H); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:549:66: required from ‘T newton::jacobian_sparse_plus_lowrank_t::sparse_plus_lowrank::diagonal_min() const [with T = double; Fac = Eigen::SimplicialLDLT >]’ 549 | vector D2 = ((G * H0).array() * G.array()).rowwise().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:127:24: required from ‘typename MatrixType::value_type newton::diagonal_min(const MatrixType&) [with MatrixType = jacobian_sparse_plus_lowrank_t > >::sparse_plus_lowrank; typename MatrixType::value_type = double]’ 127 | return M.diagonal_min(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1061:30: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1061 | Scalar m = diagonal_min(H); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:550:36: required from ‘T newton::jacobian_sparse_plus_lowrank_t::sparse_plus_lowrank::diagonal_min() const [with T = double; Fac = Eigen::SimplicialLDLT >]’ 550 | return (H.diagonal().array() + D2).minCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:127:24: required from ‘typename MatrixType::value_type newton::diagonal_min(const MatrixType&) [with MatrixType = jacobian_sparse_plus_lowrank_t > >::sparse_plus_lowrank; typename MatrixType::value_type = double]’ 127 | return M.diagonal_min(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1061:30: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1061 | Scalar m = diagonal_min(H); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalMatrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalMatrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalMatrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Array > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1037:36: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1037 | Scalar mgc = g.abs().maxCoeff(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:677:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 677 | auto T2fac = Test2.ldlt(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 325 | mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:677:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 677 | auto T2fac = Test2.ldlt(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:67: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:677:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 677 | auto T2fac = Test2.ldlt(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:677:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 677 | auto T2fac = Test2.ldlt(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:32: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:677:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 677 | auto T2fac = Test2.ldlt(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:56: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:677:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 677 | auto T2fac = Test2.ldlt(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:32: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:677:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 677 | auto T2fac = Test2.ldlt(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >’ 1384 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 1464 | struct unary_evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:677:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 677 | auto T2fac = Test2.ldlt(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 233 | gemm_pack_rhs pack_rhs_panel; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:167:44: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:677:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 677 | auto T2fac = Test2.ldlt(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 319 | pack_lhs_panel(blockA, lhs.getSubMapper(i2,absolute_j2), | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 320 | actualPanelWidth, actual_mc, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 321 | actual_kc, j2); | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from ‘void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’ 155 | Matrix buffer((internal::constructor_without_unaligned_array_assert())); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 116 | sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:677:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 677 | auto T2fac = Test2.ldlt(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 2> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>’ 25 | template class TriangularViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 2>’ 187 | template class TriangularView | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:184:26: required from ‘void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLLT >]’ 184 | derived().matrixU().solveInPlace(dest); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:383:22: required from ‘newton::matrix newton::jacobian_sparse_t::llt_solve(const Eigen::SparseMatrix&, const newton::matrix&) [with Factorization = Eigen::SimplicialLLT >]’ 383 | return llt->solve(x); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:173:51: required from ‘newton::vector newton::HessianSolveVector::solve(const newton::vector&, const newton::vector&) [with Hessian_Type = newton::jacobian_sparse_t > >]’ 173 | vector y = hessian -> llt_solve(H, xm).vec(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:191:33: required from ‘void newton::HessianSolveVector::forward(TMBad::ForwardArgs&) [with Hessian_Type = newton::jacobian_sparse_t > >]’ 191 | args.y_segment(0, n) = solve(h, x); | ~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::HessianSolveVector > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalMatrix, 1>, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1>, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalMatrix, 1>, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalMatrix, 1>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalMatrix, 1>, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalMatrix, 1>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalMatrix, 1>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalMatrix, 1>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalMatrix, 1>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalMatrix, 1>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalMatrix, 1>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:677:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 677 | auto T2fac = Test2.ldlt(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalMatrix, 1>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalMatrix, 1>, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalMatrix, 1>, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 366 | dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalMatrix, 1>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, Eigen::DiagonalMatrix, 1>, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]’ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 2, -1, true> >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:127:24: required from ‘typename MatrixType::value_type newton::diagonal_min(const MatrixType&) [with MatrixType = jacobian_sparse_plus_lowrank_t > >::sparse_plus_lowrank; typename MatrixType::value_type = double]’ 127 | return M.diagonal_min(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1061:30: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1061 | Scalar m = diagonal_min(H); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 2, -1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from ‘PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]’ 217 | PanelEvaluator panel_eval(panel); | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ 681 | m_functor.template assignPacket(&m_dst.coeffRef(index), m_src.template packet(index)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75: required from ‘static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >, Eigen::internal::assign_op, 0>]’ 437 | kernel.template assignPacket(index); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >, member_sum, 1>; Functor = assign_op]’ 785 | dense_assignment_loop::run(kernel); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:127:24: required from ‘typename MatrixType::value_type newton::diagonal_min(const MatrixType&) [with MatrixType = jacobian_sparse_plus_lowrank_t > >::sparse_plus_lowrank; typename MatrixType::value_type = double]’ 127 | return M.diagonal_min(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1061:30: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1061 | Scalar m = diagonal_min(H); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalMatrix, 1>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:127:24: required from ‘typename MatrixType::value_type newton::diagonal_min(const MatrixType&) [with MatrixType = jacobian_sparse_plus_lowrank_t > >::sparse_plus_lowrank; typename MatrixType::value_type = double]’ 127 | return M.diagonal_min(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1061:30: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1061 | Scalar m = diagonal_min(H); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:677:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 677 | auto T2fac = Test2.ldlt(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:644:46: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 644 | D = (perm.transpose() * D.matrix()).array(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:644:46: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 644 | D = (perm.transpose() * D.matrix()).array(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 2>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 1, -1, false> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, 1, -1, false>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:214:47: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:127:24: required from ‘typename MatrixType::value_type newton::diagonal_min(const MatrixType&) [with MatrixType = jacobian_sparse_plus_lowrank_t > >::sparse_plus_lowrank; typename MatrixType::value_type = double]’ 127 | return M.diagonal_min(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1061:30: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1061 | Scalar m = diagonal_min(H); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalMatrix, 1>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalMatrix, 1>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, 1, false>; Derived = Eigen::Block, 1, 1, false>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:644:46: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 644 | D = (perm.transpose() * D.matrix()).array(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block >, 1, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block >, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block >, 1, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block >, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block >, 1, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:644:46: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 644 | D = (perm.transpose() * D.matrix()).array(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse > >; Derived = Eigen::Map >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:497:1: required from ‘CppAD::vector atomic::matinv(const CppAD::vector&) [with dummy = void]’ 510 | Y = X.inverse(); // Use Eigen matrix inverse (LU) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘void atomic::logdetOp::reverse(TMBad::ReverseArgs) [with Type = double; dummy = void]’ 544 | matrix M = vec2mat(matinv(tx), n, n).transpose(); | ~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::logdetOp<>]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block >, 1, -1, false>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block >, 1, -1, false>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block >, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse > >; Derived = Eigen::Map >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:497:1: required from ‘CppAD::vector atomic::matinv(const CppAD::vector&) [with dummy = void]’ 510 | Y = X.inverse(); // Use Eigen matrix inverse (LU) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘void atomic::logdetOp::reverse(TMBad::ReverseArgs) [with Type = double; dummy = void]’ 544 | matrix M = vec2mat(matinv(tx), n, n).transpose(); | ~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::logdetOp<>]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:497:1: required from ‘void atomic::matinvOp::reverse(TMBad::ReverseArgs) [with Type = double; dummy = void]’ 520 | res = -matmul(Yt, tmp); // -f(X)^T*W*f(X)^T | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::matinvOp<>]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:263:57: required from ‘newton::vector newton::jacobian_dense_t::crossprod(const newton::vector&, const newton::vector&) [with T = double; Factorization = Eigen::LLT, 1>]’ 263 | matrix ans = ( y2.matrix() * y.matrix().transpose() ).array(); | ~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:204:45: required from ‘void newton::HessianSolveVector::reverse(TMBad::ReverseArgs&) [with T = double; Hessian_Type = newton::jacobian_dense_t<>]’ 204 | vector y2y_j = hessian -> crossprod(y2_j, y_j); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::HessianSolveVector >]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose > >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose > >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:263:35: required from ‘newton::vector newton::jacobian_dense_t::crossprod(const newton::vector&, const newton::vector&) [with T = double; Factorization = Eigen::LLT, 1>]’ 263 | matrix ans = ( y2.matrix() * y.matrix().transpose() ).array(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:204:45: required from ‘void newton::HessianSolveVector::reverse(TMBad::ReverseArgs&) [with T = double; Hessian_Type = newton::jacobian_dense_t<>]’ 204 | vector y2y_j = hessian -> crossprod(y2_j, y_j); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::HessianSolveVector >]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose > >, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose > >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, Eigen::Transpose > >, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, Eigen::Transpose > >, 0> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:263:67: required from ‘newton::vector newton::jacobian_dense_t::crossprod(const newton::vector&, const newton::vector&) [with T = double; Factorization = Eigen::LLT, 1>]’ 263 | matrix ans = ( y2.matrix() * y.matrix().transpose() ).array(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:204:45: required from ‘void newton::HessianSolveVector::reverse(TMBad::ReverseArgs&) [with T = double; Hessian_Type = newton::jacobian_dense_t<>]’ 204 | vector y2y_j = hessian -> crossprod(y2_j, y_j); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::HessianSolveVector >]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Matrix; Lhs = Eigen::MatrixWrapper >; Rhs = Eigen::Transpose > >; Func = generic_product_impl >, Eigen::Transpose > >, Eigen::DenseShape, Eigen::DenseShape, 5>::set]’ 280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:317:41: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:94:54: required from ‘newton::matrix::matrix(const Eigen::ArrayBase&) [with Derived = Eigen::ArrayWrapper >, Eigen::Transpose > >, 0> >; Type = double]’ 94 | matrix(const Eigen::ArrayBase &x) : Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:263:67: required from ‘newton::vector newton::jacobian_dense_t::crossprod(const newton::vector&, const newton::vector&) [with T = double; Factorization = Eigen::LLT, 1>]’ 263 | matrix ans = ( y2.matrix() * y.matrix().transpose() ).array(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:204:45: required from ‘void newton::HessianSolveVector::reverse(TMBad::ReverseArgs&) [with T = double; Hessian_Type = newton::jacobian_dense_t<>]’ 204 | vector y2y_j = hessian -> crossprod(y2_j, y_j); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::HessianSolveVector >]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMB.hpp:137: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp: In function ‘TMBad::ad_adapt TMBad::F(const ad_adapt&, const ad_adapt&)’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:3110:10: warning: infinite recursion detected [-Winfinite-recursion] 3110 | ad_adapt F(const ad_adapt &x1, const ad_adapt &x2) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:3111:20: note: recursive call 3111 | return ad_adapt(F(ad_aug(x1), ad_aug(x2))); | ~^~~~~~~~~~~~~~~~~~~~~~~~ g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o dsem.so dsem.o -fopenmp -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpgddpmI/R.INSTALL3457dd68e13e26/dsem/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-dsem/00new/dsem/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (dsem) begin installing package ‘tinyVAST’ * installing *source* package ‘tinyVAST’ ... ** this is package ‘tinyVAST’ version ‘1.4.0’ ** package ‘tinyVAST’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-15 (Debian 15.2.0-12) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpR2UsxX/R.INSTALL345a091dc2d02f/tinyVAST/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R/include" -DNDEBUG -DTMBAD_FRAMEWORK -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c tinyVAST.cpp -o tinyVAST.o In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMB.hpp:92, from tinyVAST.cpp:2: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from ‘struct Eigen::internal::traits >’ 23 | template struct traits : traits {}; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits > >’ 18 | struct traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:95:71: required from here 95 | void matmul(Map x, Map y, Map z) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits > >’ 24 | ? PlainObjectType::ColsAtCompileTime | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:95:71: required from here 95 | void matmul(Map x, Map y, Map z) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:95:71: required from here 95 | void matmul(Map x, Map y, Map z) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:95:71: required from here 95 | void matmul(Map x, Map y, Map z) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:97:69: required from here 97 | if (XT && YT && ZT) z.transpose() = x.transpose() * y.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:97:69: required from here 97 | if (XT && YT && ZT) z.transpose() = x.transpose() * y.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Transpose > >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Transpose > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Transpose > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Transpose > >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Transpose > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Transpose > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:97:69: required from here 97 | if (XT && YT && ZT) z.transpose() = x.transpose() * y.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose > >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose > >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:98:58: required from here 98 | if (!XT && YT && ZT) z.transpose() = x * y.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Map >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Map >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Map >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Map >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Map >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Map >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:99:58: required from here 99 | if (XT && !YT && ZT) z.transpose() = x.transpose() * y; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Map >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Map >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Map >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Map >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Map >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Map >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:101:47: required from here 101 | if (!XT && !YT && ZT) z.transpose() = x * y; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:65: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:17:8: required from ‘struct tmbutils::vector’ 17 | struct vector : Array | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vectorize.hpp:54:35: required from here 54 | struct vector : tmbutils::vector { | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits > >’ 24 | ? PlainObjectType::ColsAtCompileTime | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/convert.hpp:114:24: required from here 114 | vector y = tmp.cast(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/convert.hpp:114:24: required from here 114 | vector y = tmp.cast(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl >, Eigen::Dense>’ 68 | class InverseImpl | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse > >’ 43 | class Inverse : public InverseImpl::StorageKind> | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:497:1: required from here 510 | Y = X.inverse(); // Use Eigen matrix inverse (LU) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from here 539 | double res=LUdiag.abs().log().sum(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from here 539 | double res=LUdiag.abs().log().sum(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:554:1: required from here 571 | double logdetX = D.log().sum(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_convolve.hpp:8:57: required from here 14 | y(i, j) = (x.block(i, j, kr, kc).array() * K.array()).sum(); | ~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, -1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, -1, false> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_convolve.hpp:8:57: required from here 14 | y(i, j) = (x.block(i, j, kr, kc).array() * K.array()).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_convolve.hpp:8:57: required from here 14 | y(i, j) = (x.block(i, j, kr, kc).array() * K.array()).sum(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_convolve.hpp:8:57: required from here 14 | y(i, j) = (x.block(i, j, kr, kc).array() * K.array()).sum(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:22:1: required from here 291 | y_ = foo0(x_); \ | ~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:22:1: required from here 291 | y_ = foo0(x_); \ | ~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:30:1: required from here 291 | y_ = foo0(x_); \ | ~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:30:1: required from here 291 | y_ = foo0(x_); \ | ~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/start_parallel.hpp:361:50: required from here 361 | for(int i=0; i::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMB.hpp:96: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/simplicial_inverse_subset.hpp:7:46: required from here 7 | typedef SimplicialLLT > BaseD; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 1, Eigen::Sparse>’ 25 | template class TriangularViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 1>’ 187 | template class TriangularView | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:42:26: required from here 42 | return 2. * llt.matrixL().nestedExpression().diagonal().array().log().sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:42:56: required from here 42 | return 2. * llt.matrixL().nestedExpression().diagonal().array().log().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:42:64: required from here 42 | return 2. * llt.matrixL().nestedExpression().diagonal().array().log().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:42:70: required from here 42 | return 2. * llt.matrixL().nestedExpression().diagonal().array().log().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:644:38: required from here 644 | D = (perm.transpose() * D.matrix()).array(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::MatrixWrapper >, 2>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::MatrixWrapper >, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::MatrixWrapper >, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::MatrixWrapper >, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::MatrixWrapper >, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::MatrixWrapper >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:644:40: required from here 644 | D = (perm.transpose() * D.matrix()).array(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::MatrixWrapper >, 2> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::MatrixWrapper >, 2> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, Eigen::MatrixWrapper >, 2> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, Eigen::MatrixWrapper >, 2> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:644:47: required from here 644 | D = (perm.transpose() * D.matrix()).array(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 2>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:645:28: required from here 645 | R = perm.transpose() * R; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:655:34: required from here 655 | Dtmp.diagonal() = Dpos.sqrt().cwiseInverse().array(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:655:49: required from here 655 | Dtmp.diagonal() = Dpos.sqrt().cwiseInverse().array(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:659:49: required from here 659 | LT = Eigen::MatrixXd( (Rtmp.transpose() * Rtmp).llt().matrixL().transpose() ); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:659:54: required from here 659 | LT = Eigen::MatrixXd( (Rtmp.transpose() * Rtmp).llt().matrixL().transpose() ); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:664:21: required from here 664 | Test1.diagonal().array() = Test1.diagonal().array() + 1.; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:664:59: required from here 664 | Test1.diagonal().array() = Test1.diagonal().array() + 1.; | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:664:59: required from here 664 | Test1.diagonal().array() = Test1.diagonal().array() + 1.; | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:664:59: required from here 664 | Test1.diagonal().array() = Test1.diagonal().array() + 1.; | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:672:46: required from here 672 | Dpos_inv.diagonal() = Dpos.cwiseInverse().array(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:676:59: required from here 676 | Test2.diagonal().array() = Test2.diagonal().array() + Dneg; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:680:31: required from here 680 | bool ok = (vecD.array() > 0).all(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:680:33: required from here 680 | bool ok = (vecD.array() > 0).all(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:699:17: required from here 699 | return y1 - y2; | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1226:26: required from here 1226 | dy_mat.diagonal() *= 2.; dy_mat *= .5; | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/sparse_matrix_exponential.hpp:225:25: required from here 225 | term = A * term / n; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:206:36: required from ‘atomic::nestedTriangle::nestedTriangle(tmbutils::vector >) [with int n = 1]’ 206 | matrix zero = args[0]*0.0; /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 273 | else if (nargs==2) ans=expm(nestedTriangle<1>(args)).bottomLeftCorner(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:206:36: required from ‘atomic::nestedTriangle::nestedTriangle(tmbutils::vector >) [with int n = 1]’ 206 | matrix zero = args[0]*0.0; /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 273 | else if (nargs==2) ans=expm(nestedTriangle<1>(args)).bottomLeftCorner(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/array.hpp:22:8: required from ‘struct tmbutils::array’ 22 | struct array:Map< Array >{ | ^~~~~ tinyVAST.cpp:1055:3: required from ‘Type objective_function::operator()() [with Type = double]’ 1055 | PARAMETER_ARRAY( epsilon_stc ); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ tinyVAST.cpp:1111:42: required from ‘Type objective_function::operator()() [with Type = double]’ 1111 | Lspatial_ss = ( I_ss - exp(log_kappa)*Adj ); | ~~~~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ tinyVAST.cpp:1111:26: required from ‘Type objective_function::operator()() [with Type = double]’ 1111 | Lspatial_ss = ( I_ss - exp(log_kappa)*Adj ); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ 22 | class SparseTransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ 45 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ tinyVAST.cpp:1113:33: required from ‘Type objective_function::operator()() [with Type = double]’ 1113 | Q_ss = Lspatial_ss.transpose() * Lspatial_ss; | ~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ 145 | class ProductImpl : public internal::generic_xpr_base, MatrixXpr, StorageKind>::type | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ tinyVAST.cpp:1113:36: required from ‘Type objective_function::operator()() [with Type = double]’ 1113 | Q_ss = Lspatial_ss.transpose() * Lspatial_ss; | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ tinyVAST.cpp:1154:47: required from ‘Type objective_function::operator()() [with Type = double]’ 1154 | Q_ss = exp(4.0*log_kappa)*spatial_list.G0 + Type(2.0)*exp(2.0*log_kappa)*G1 + G1*spatial_list.G0_inv*G1; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>’ 145 | class ProductImpl : public internal::generic_xpr_base, MatrixXpr, StorageKind>::type | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ tinyVAST.cpp:1154:85: required from ‘Type objective_function::operator()() [with Type = double]’ 1154 | Q_ss = exp(4.0*log_kappa)*spatial_list.G0 + Type(2.0)*exp(2.0*log_kappa)*G1 + G1*spatial_list.G0_inv*G1; | ~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>’ 145 | class ProductImpl : public internal::generic_xpr_base, MatrixXpr, StorageKind>::type | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ tinyVAST.cpp:1154:105: required from ‘Type objective_function::operator()() [with Type = double]’ 1154 | Q_ss = exp(4.0*log_kappa)*spatial_list.G0 + Type(2.0)*exp(2.0*log_kappa)*G1 + G1*spatial_list.G0_inv*G1; | ~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ tinyVAST.cpp:1154:81: required from ‘Type objective_function::operator()() [with Type = double]’ 1154 | Q_ss = exp(4.0*log_kappa)*spatial_list.G0 + Type(2.0)*exp(2.0*log_kappa)*G1 + G1*spatial_list.G0_inv*G1; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ tinyVAST.cpp:1267:55: required from ‘Type objective_function::operator()() [with Type = double]’ 1267 | vector log_sigma_segment = log_sigma.segment( Edims_ez(e_i(i),0), Edims_ez(e_i(i),1) ); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ tinyVAST.cpp:1292:105: required from ‘Type objective_function::operator()() [with Type = double]’ 1292 | vector alphaprime_j = alpha_j + (precisionX_jj * (X_ij.transpose() * (pomega1_i + pepsilon1_i + pxi1_i + pdelta1_i).matrix())).array(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ tinyVAST.cpp:1292:114: required from ‘Type objective_function::operator()() [with Type = double]’ 1292 | vector alphaprime_j = alpha_j + (precisionX_jj * (X_ij.transpose() * (pomega1_i + pepsilon1_i + pxi1_i + pdelta1_i).matrix())).array(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ tinyVAST.cpp:1292:133: required from ‘Type objective_function::operator()() [with Type = double]’ 1292 | vector alphaprime_j = alpha_j + (precisionX_jj * (X_ij.transpose() * (pomega1_i + pepsilon1_i + pxi1_i + pdelta1_i).matrix())).array(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ tinyVAST.cpp:1292:78: required from ‘Type objective_function::operator()() [with Type = double]’ 1292 | vector alphaprime_j = alpha_j + (precisionX_jj * (X_ij.transpose() * (pomega1_i + pepsilon1_i + pxi1_i + pdelta1_i).matrix())).array(); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ tinyVAST.cpp:1292:58: required from ‘Type objective_function::operator()() [with Type = double]’ 1292 | vector alphaprime_j = alpha_j + (precisionX_jj * (X_ij.transpose() * (pomega1_i + pepsilon1_i + pxi1_i + pdelta1_i).matrix())).array(); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ tinyVAST.cpp:1292:143: required from ‘Type objective_function::operator()() [with Type = double]’ 1292 | vector alphaprime_j = alpha_j + (precisionX_jj * (X_ij.transpose() * (pomega1_i + pepsilon1_i + pxi1_i + pdelta1_i).matrix())).array(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ tinyVAST.cpp:1292:41: required from ‘Type objective_function::operator()() [with Type = double]’ 1292 | vector alphaprime_j = alpha_j + (precisionX_jj * (X_ij.transpose() * (pomega1_i + pepsilon1_i + pxi1_i + pdelta1_i).matrix())).array(); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ tinyVAST.cpp:1310:72: required from ‘Type objective_function::operator()() [with Type = double]’ 1310 | vector p1_g = palpha1_g + pgamma1_g+ pepsilon1_g + pomega1_g + pdelta1_g + pxi1_g + offset_g ; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ tinyVAST.cpp:1310:84: required from ‘Type objective_function::operator()() [with Type = double]’ 1310 | vector p1_g = palpha1_g + pgamma1_g+ pepsilon1_g + pomega1_g + pdelta1_g + pxi1_g + offset_g ; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ tinyVAST.cpp:1310:93: required from ‘Type objective_function::operator()() [with Type = double]’ 1310 | vector p1_g = palpha1_g + pgamma1_g+ pepsilon1_g + pomega1_g + pdelta1_g + pxi1_g + offset_g ; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/start_parallel.hpp:375:43: required from ‘Vector parallelADFun::forward(const Vector&) [with Vector = Eigen::Matrix; Type = double]’ 375 | for(int i=0; iforward(x); | ~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::MatrixWrapper >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::MatrixWrapper >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::MatrixWrapper >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::MatrixWrapper >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::MatrixWrapper >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::MatrixWrapper >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/convenience.hpp:49:13: required from ‘tmbutils::vector operator*(Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 49 | return (A * x.matrix()).array(); | ~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/sparse_matrix_exponential.hpp:225:18: required from here 225 | term = A * term / n; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::MatrixWrapper >, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::MatrixWrapper >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::MatrixWrapper >, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, Eigen::MatrixWrapper >, 0> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/convenience.hpp:49:32: required from ‘tmbutils::vector operator*(Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 49 | return (A * x.matrix()).array(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/sparse_matrix_exponential.hpp:225:18: required from here 225 | term = A * term / n; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:30:21: required from ‘Type atomic::Block::norm() [with Type = double]’ 30 | Aabs = A.array().abs(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:237:37: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 237 | double log2NormInf = log( A.norm() ); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:30:27: required from ‘Type atomic::Block::norm() [with Type = double]’ 30 | Aabs = A.array().abs(); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:237:37: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 237 | double log2NormInf = log( A.norm() ); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:31:47: required from ‘Type atomic::Block::norm() [with Type = double]’ 31 | vector rsAabs = Aabs.rowwise().sum(); | ~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:237:37: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 237 | double log2NormInf = log( A.norm() ); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:18:23: required from ‘atomic::Block atomic::Block::scale(Type) [with Type = double]’ 18 | return Block( c * this->A ); | ~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:242:29: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 242 | matrix_pade AA = A.scale( 1.0 / pow( 2.0, s ) ); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:25:29: required from ‘atomic::Block atomic::Block::addIdentity() [with Type = double]’ 25 | return Block( this->A + I ); | ~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:245:45: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 245 | matrix_pade E = AA.scale( c).addIdentity(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl, Eigen::Dense>’ 68 | class InverseImpl | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >’ 43 | class Inverse : public InverseImpl::StorageKind> | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:36:36: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from ‘class Eigen::Tridiagonalization >’ 92 | >::type DiagonalReturnType; | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from ‘class Eigen::Tridiagonalization >’ 97 | >::type SubDiagonalReturnType; | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:55: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:26: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:277: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, -1, false> > >’ 1384 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false> >, Eigen::internal::IndexBased, double>’ 1464 | struct unary_evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, -1, false> >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_convolve.hpp:8:57: required from here 14 | y(i, j) = (x.block(i, j, kr, kc).array() * K.array()).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1613:41: required from ‘struct Eigen::internal::evaluator, 0> >’ 1613 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, 0> > >’ 1384 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper, 0> > >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, 0> > > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, 0> > > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:42:76: required from here 42 | return 2. * llt.matrixL().nestedExpression().diagonal().array().log().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type >, const Eigen::CwiseUnaryOp, const Eigen::Map > > >’ 513 | typedef typename _CastType::Scalar NewScalarType; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase > >::CastXpr’ 48 | template struct CastXpr { typedef typename internal::cast_return_type, const Derived> >::type Type; }; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase > >::CastXpr::Type Eigen::DenseBase > >::cast() const [with NewType = double]’ 62 | cast() const | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/convert.hpp:114:35: required from ‘tmbutils::vector asVector(SEXP) [with Type = double; SEXP = SEXPREC*]’ 114 | vector y = tmp.cast(); | ~~~~~~~~~~~~~~^~ tinyVAST.cpp:966:3: required from ‘Type objective_function::operator()() [with Type = double]’ 239 | name = TMB_OBJECTIVE_PTR -> fillShape(asVector( \ | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ 240 | TMB_OBJECTIVE_PTR -> getShape(#name, &Rf_isReal )), #name); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >, const Eigen::SparseMatrix > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >, const Eigen::SparseMatrix, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >, const Eigen::SparseMatrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/R_inla.hpp:124:56: required from ‘Eigen::SparseMatrix R_inla::Q_spde(spde_aniso_t, Type, tmbutils::matrix) [with Type = double]’ 124 | return kappa_pow4*G0 + Type(2.0)*kappa_pow2*G1_aniso + G2_aniso; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ tinyVAST.cpp:1100:26: required from ‘Type objective_function::operator()() [with Type = double]’ 1100 | Q_ss = R_inla::Q_spde( spatial_list, exp(log_kappa), H ); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1194:15: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1194 | OtherCopy otherCopy(other.derived()); | ^~~~~~~~~ tinyVAST.cpp:1111:17: required from ‘Type objective_function::operator()() [with Type = double]’ 1111 | Lspatial_ss = ( I_ss - exp(log_kappa)*Adj ); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1195:19: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1195 | OtherCopyEval otherCopyEval(otherCopy); | ^~~~~~~~~~~~~ tinyVAST.cpp:1111:17: required from ‘Type objective_function::operator()() [with Type = double]’ 1111 | Lspatial_ss = ( I_ss - exp(log_kappa)*Adj ); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ tinyVAST.cpp:209:34: required from ‘Eigen::SparseMatrix Q_network2(Type, int, tmbutils::vector, tmbutils::vector, tmbutils::vector) [with Type = double]’ 209 | vector v1_s = exp(-theta * dist_s) / (1.0 - exp(-2.0 * theta * dist_s)); | ~~~~~~~^~~~~~~~ tinyVAST.cpp:1125:22: required from ‘Type objective_function::operator()() [with Type = double]’ 1125 | Q_ss = Q_network2( log_kappa, n_s, graph_sz.col(0), graph_sz.col(1), dist_s ); // Q_network( log_theta, n_s, parent_s, child_s, dist_s ) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ tinyVAST.cpp:209:26: required from ‘Eigen::SparseMatrix Q_network2(Type, int, tmbutils::vector, tmbutils::vector, tmbutils::vector) [with Type = double]’ 209 | vector v1_s = exp(-theta * dist_s) / (1.0 - exp(-2.0 * theta * dist_s)); | ~~~^~~~~~~~~~~~~~~~~ tinyVAST.cpp:1125:22: required from ‘Type objective_function::operator()() [with Type = double]’ 1125 | Q_ss = Q_network2( log_kappa, n_s, graph_sz.col(0), graph_sz.col(1), dist_s ); // Q_network( log_theta, n_s, parent_s, child_s, dist_s ) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ tinyVAST.cpp:209:51: required from ‘Eigen::SparseMatrix Q_network2(Type, int, tmbutils::vector, tmbutils::vector, tmbutils::vector) [with Type = double]’ 209 | vector v1_s = exp(-theta * dist_s) / (1.0 - exp(-2.0 * theta * dist_s)); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1125:22: required from ‘Type objective_function::operator()() [with Type = double]’ 1125 | Q_ss = Q_network2( log_kappa, n_s, graph_sz.col(0), graph_sz.col(1), dist_s ); // Q_network( log_theta, n_s, parent_s, child_s, dist_s ) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ tinyVAST.cpp:209:44: required from ‘Eigen::SparseMatrix Q_network2(Type, int, tmbutils::vector, tmbutils::vector, tmbutils::vector) [with Type = double]’ 209 | vector v1_s = exp(-theta * dist_s) / (1.0 - exp(-2.0 * theta * dist_s)); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1125:22: required from ‘Type objective_function::operator()() [with Type = double]’ 1125 | Q_ss = Q_network2( log_kappa, n_s, graph_sz.col(0), graph_sz.col(1), dist_s ); // Q_network( log_theta, n_s, parent_s, child_s, dist_s ) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ tinyVAST.cpp:228:47: required from ‘Eigen::SparseMatrix Q_network2(Type, int, tmbutils::vector, tmbutils::vector, tmbutils::vector) [with Type = double]’ 228 | Eigen::SparseMatrix DminusP_ss = D_ss - P_ss; | ~~~~~^~~~~~ tinyVAST.cpp:1125:22: required from ‘Type objective_function::operator()() [with Type = double]’ 1125 | Q_ss = Q_network2( log_kappa, n_s, graph_sz.col(0), graph_sz.col(1), dist_s ); // Q_network( log_theta, n_s, parent_s, child_s, dist_s ) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>’ 145 | class ProductImpl : public internal::generic_xpr_base, MatrixXpr, StorageKind>::type | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ tinyVAST.cpp:229:66: required from ‘Eigen::SparseMatrix Q_network2(Type, int, tmbutils::vector, tmbutils::vector, tmbutils::vector) [with Type = double]’ 229 | Eigen::SparseMatrix Q = DminusP_ss.transpose() * invD_ss * DminusP_ss; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:1125:22: required from ‘Type objective_function::operator()() [with Type = double]’ 1125 | Q_ss = Q_network2( log_kappa, n_s, graph_sz.col(0), graph_sz.col(1), dist_s ); // Q_network( log_theta, n_s, parent_s, child_s, dist_s ) | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>’ 333 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ 103 | template class Block | ^~~~~ tinyVAST.cpp:187:27: required from ‘Eigen::SparseMatrix Q_SAR(Type, tmbutils::matrix, int, tmbutils::vector, tmbutils::vector, tmbutils::matrix) [with Type = double]’ 187 | Type rowsum = W_ss.row(row).sum(); | ~~~~~~~~^~~~~ tinyVAST.cpp:1143:17: required from ‘Type objective_function::operator()() [with Type = double]’ 1143 | Q_ss = Q_SAR( rho, H, n_s, i_z, j_z, delta_z2 ); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::MatrixWrapper >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::MatrixWrapper >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::MatrixWrapper >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::MatrixWrapper >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::MatrixWrapper >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::MatrixWrapper >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ tinyVAST.cpp:121:40: required from ‘Eigen::SparseMatrix G_spde_covariates(spde_covariates_t, tmbutils::matrix, tmbutils::vector) [with Type = double]’ 121 | matrix triangle_t1 = spde.V_zk * triangle_k.matrix(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1152:53: required from ‘Type objective_function::operator()() [with Type = double]’ 1152 | Eigen::SparseMatrix G1 = G_spde_covariates( spatial_list, H, triangle_k ); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ tinyVAST.cpp:136:38: required from ‘Eigen::SparseMatrix G_spde_covariates(spde_covariates_t, tmbutils::matrix, tmbutils::vector) [with Type = double]’ 136 | matrix adjH_jj = H_jj.adjoint(); | ~~~~~~~~~~~~^~ tinyVAST.cpp:1152:53: required from ‘Type objective_function::operator()() [with Type = double]’ 1152 | Eigen::SparseMatrix G1 = G_spde_covariates( spatial_list, H, triangle_k ); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ 103 | template class Block | ^~~~~ tinyVAST.cpp:140:17: required from ‘Eigen::SparseMatrix G_spde_covariates(spde_covariates_t, tmbutils::matrix, tmbutils::vector) [with Type = double]’ 140 | edges_vj.row(0) = edge0_tj.row(t); | ~~~~~~~~~~~~^~~ tinyVAST.cpp:1152:53: required from ‘Type objective_function::operator()() [with Type = double]’ 1152 | Eigen::SparseMatrix G1 = G_spde_covariates( spatial_list, H, triangle_k ); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ tinyVAST.cpp:145:33: required from ‘Eigen::SparseMatrix G_spde_covariates(spde_covariates_t, tmbutils::matrix, tmbutils::vector) [with Type = double]’ 145 | Gt_vv = (edges_vj * adjH_jj * edges_vj.transpose()) * exp(triangle_t1(t,0)); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1152:53: required from ‘Type objective_function::operator()() [with Type = double]’ 1152 | Eigen::SparseMatrix G1 = G_spde_covariates( spatial_list, H, triangle_k ); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ tinyVAST.cpp:145:57: required from ‘Eigen::SparseMatrix G_spde_covariates(spde_covariates_t, tmbutils::matrix, tmbutils::vector) [with Type = double]’ 145 | Gt_vv = (edges_vj * adjH_jj * edges_vj.transpose()) * exp(triangle_t1(t,0)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1152:53: required from ‘Type objective_function::operator()() [with Type = double]’ 1152 | Eigen::SparseMatrix G1 = G_spde_covariates( spatial_list, H, triangle_k ); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ tinyVAST.cpp:145:57: required from ‘Eigen::SparseMatrix G_spde_covariates(spde_covariates_t, tmbutils::matrix, tmbutils::vector) [with Type = double]’ 145 | Gt_vv = (edges_vj * adjH_jj * edges_vj.transpose()) * exp(triangle_t1(t,0)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1152:53: required from ‘Type objective_function::operator()() [with Type = double]’ 1152 | Eigen::SparseMatrix G1 = G_spde_covariates( spatial_list, H, triangle_k ); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ tinyVAST.cpp:156:19: required from ‘Eigen::SparseMatrix G_spde_covariates(spde_covariates_t, tmbutils::matrix, tmbutils::vector) [with Type = double]’ 156 | G_ss += Gt_ss / ( 4.0 * area_t(t) ); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1152:53: required from ‘Type objective_function::operator()() [with Type = double]’ 1152 | Eigen::SparseMatrix G1 = G_spde_covariates( spatial_list, H, triangle_k ); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>’ 50 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 1>’ 148 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 222 | class Map, Options, StrideType> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/MappedSparseMatrix.h:32:7: required from ‘class Eigen::MappedSparseMatrix’ 32 | class MappedSparseMatrix | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:477:54: required from ‘class Eigen::SparseLU, Eigen::COLAMDOrdering >’ 477 | MappedSparseMatrix m_Ustore; // The upper triangular matrix | ^~~~~~~~ tinyVAST.cpp:365:82: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 365 | Eigen::SparseLU< Eigen::SparseMatrix, Eigen::COLAMDOrdering > inverseIminusRho_cc; | ^~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ tinyVAST.cpp:369:43: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 369 | matrix omega2_cs = Gamma_cc * omega_sc.matrix().transpose(); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::COLAMDOrdering >, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::COLAMDOrdering >, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::COLAMDOrdering >, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, Eigen::COLAMDOrdering >, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ tinyVAST.cpp:370:59: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 370 | matrix omega3_cs = inverseIminusRho_cc.solve(omega2_cs); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ tinyVAST.cpp:452:37: required from ‘tmbutils::array epsilon_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 452 | matrix e2_hs = Gamma_hh * epsilon_hs.matrix(); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1197:37: required from ‘Type objective_function::operator()() [with Type = double]’ 1197 | epsilon_stc = epsilon_distribution( epsilon_stc, model_options, Rho_hh, | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1198 | Gamma_hh, Gammainv_hh, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Sparse>’ 333 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ 103 | template class Block | ^~~~~ tinyVAST.cpp:294:53: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 294 | Eigen::SparseMatrix S_block = S_kk.block(start_k, start_k, ngamma_z, ngamma_z); // Recover S_i | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ tinyVAST.cpp:300:86: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 300 | (gamma_segment.matrix().transpose()*(S_block * gamma_segment.matrix())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Product, Eigen::MatrixWrapper >, 0>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Product, Eigen::MatrixWrapper >, 0>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Product, Eigen::MatrixWrapper >, 0>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Product, Eigen::MatrixWrapper >, 0>, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Product, Eigen::MatrixWrapper >, 0>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Product, Eigen::MatrixWrapper >, 0>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ tinyVAST.cpp:300:88: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 300 | (gamma_segment.matrix().transpose()*(S_block * gamma_segment.matrix())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase > >, Eigen::Product, Eigen::MatrixWrapper >, 0>, 0> >’ 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Product, Eigen::MatrixWrapper >, 0>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Product, Eigen::MatrixWrapper >, 0>, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Product, Eigen::MatrixWrapper >, 0>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Product, Eigen::MatrixWrapper >, 0>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ tinyVAST.cpp:300:88: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 300 | (gamma_segment.matrix().transpose()*(S_block * gamma_segment.matrix())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:603:56: required from ‘void report_stack::push(Vector_Matrix_Or_Array, const char*) [with Vector_Matrix_Or_Array = tmbutils::vector; Type = double]’ 603 | Eigen::Array xa(x); | ^~ tinyVAST.cpp:1298:5: required from ‘Type objective_function::operator()() [with Type = double]’ 345 | TMB_OBJECTIVE_PTR -> reportvector.push(name, #name); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:44: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:22: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ tinyVAST.cpp:1081:12: required from ‘Type objective_function::operator()() [with Type = double]’ 1081 | H.setZero(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseRedux.h:21:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 21 | internal::evaluator thisEval(derived()); | ^~~~~~~~ tinyVAST.cpp:187:36: required from ‘Eigen::SparseMatrix Q_SAR(Type, tmbutils::matrix, int, tmbutils::vector, tmbutils::vector, tmbutils::matrix) [with Type = double]’ 187 | Type rowsum = W_ss.row(row).sum(); | ~~~~~~~~~~~~~~~~~^~ tinyVAST.cpp:1143:17: required from ‘Type objective_function::operator()() [with Type = double]’ 1143 | Q_ss = Q_SAR( rho, H, n_s, i_z, j_z, delta_z2 ); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:665:32: required from ‘Derived& Eigen::SparseMatrixBase::operator+=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::SparseMatrix]’ 665 | return derived() = derived() + other.derived(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~ tinyVAST.cpp:156:10: required from ‘Eigen::SparseMatrix G_spde_covariates(spde_covariates_t, tmbutils::matrix, tmbutils::vector) [with Type = double]’ 156 | G_ss += Gt_ss / ( 4.0 * area_t(t) ); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1152:53: required from ‘Type objective_function::operator()() [with Type = double]’ 1152 | Eigen::SparseMatrix G1 = G_spde_covariates( spatial_list, H, triangle_k ); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/spmat.hpp:144:32: required from ‘tmbutils::matrix tmbutils::invertSparseMatrix(Eigen::SparseMatrix) [with Type = double]’ 144 | matrix ans = ldlt.solve(I); | ~~~~~~~~~~^~~ tinyVAST.cpp:350:50: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 350 | matrix Vinv_cc = invertSparseMatrix( V_cc ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/array.hpp:311:55: required from ‘tmbutils::matrix tmbutils::array::matrix() [with Type = double]’ 311 | tmbutils::matrix ans = this->MapBase::matrix(); | ~~~~~~~~~~~~~~~~~~~~~^~ tinyVAST.cpp:369:60: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 369 | matrix omega2_cs = Gamma_cc * omega_sc.matrix().transpose(); | ~~~~~~~~~~~~~~~^~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 687 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ tinyVAST.cpp:294:53: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 294 | Eigen::SparseMatrix S_block = S_kk.block(start_k, start_k, ngamma_z, ngamma_z); // Recover S_i | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:665:32: required from ‘Derived& Eigen::SparseMatrixBase::operator+=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >; Derived = Eigen::SparseMatrix]’ 665 | return derived() = derived() + other.derived(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~ tinyVAST.cpp:312:17: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 312 | S_block += exp(log_lambda(index_lambda)) * S_tmp; | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/start_parallel.hpp:374:16: required from ‘Vector parallelADFun::forward(const Vector&) [with Vector = Eigen::Matrix; Type = double]’ 374 | out.setZero(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2675:28: required from here 2675 | y_map = pf->forward(x); | ~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Matrix; bool Big = false]’ 846 | return m = Derived::Identity(m.rows(), m.cols()); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Matrix]’ 875 | return internal::setIdentity_impl::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:24:20: required from ‘atomic::Block atomic::Block::addIdentity() [with Type = double]’ 24 | I.setIdentity(); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:245:45: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 245 | matrix_pade E = AA.scale( c).addIdentity(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:34: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 453 | RealScalar scale = mat.cwiseAbs().maxCoeff(); | ~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1040:66: required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = scalar_sum_op]’ 1040 | SparseMatrix trMat(mat.rows(),mat.cols()); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1110 | internal::set_from_triplets >(begin, end, *this, internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/spmat.hpp:24:22: required from ‘Eigen::SparseMatrix tmbutils::asSparseMatrix(SEXP) [with Type = double; SEXP = SEXPREC*]’ 24 | mat.setFromTriplets(tripletList.begin(), tripletList.end()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:978:3: required from ‘Type objective_function::operator()() [with Type = double]’ 302 | Eigen::SparseMatrix name(tmbutils::asSparseMatrix( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ 303 | getListElement(TMB_OBJECTIVE_PTR -> data, \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | #name, &isValidSparseMatrix))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/array.hpp:301:3: required from ‘tmbutils::array tmbutils::array::operator*(T) [with T = tmbutils::array; Type = double]’ 298 | array OP(T y){return array(MapBase::OP(y),dim);} | ~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:1144:8: required from ‘density::SEPARABLE_t::scalartype density::SEPARABLE_t::operator()(arraytype) [with distribution1 = density::GMRF_t; distribution2 = density::GMRF_t; scalartype = double; arraytype = tmbutils::array]’ 1144 | y=x*y; /* pointwise */ | ~^~ tinyVAST.cpp:355:51: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 355 | nll += SEPARABLE( GMRF(Q_cc), GMRF(Q_ss) )( omega_sc ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:730:33: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 730 | VectorBlock dense_k(dense, k, m); | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::InnerStride<1> >’ 281 | template class Ref | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 732 | info = Base::column_bmod(jj, (nseg - nseg1), dense_k, tempv, segrep_k, repfnz_k, jcol, m_glu); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, -1, 1, false> >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, -1, 1, false>]’ 288 | typename internal::enable_if::MatchAtCompileTime),Derived>::type* = 0); | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 732 | info = Base::column_bmod(jj, (nseg - nseg1), dense_k, tempv, segrep_k, repfnz_k, jcol, m_glu); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::MatrixWrapper >, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::MatrixWrapper >, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::MatrixWrapper >, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::MatrixWrapper >, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::MatrixWrapper >, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:887:15: required from ‘density::GMRF_t::scalartype density::GMRF_t::Quadform(vectortype) [with scalartype_ = double; scalartype = double; vectortype = tmbutils::vector]’ 887 | return (x * (Q * x.matrix()).array()).sum(); | ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:890:57: required from ‘density::GMRF_t::scalartype density::GMRF_t::operator()(vectortype) [with scalartype_ = double; scalartype = double; vectortype = tmbutils::vector]’ 890 | return -scalartype(.5) * logdetQ + scalartype(.5) * Quadform(x) + x.size() * scalartype(log(sqrt(2.0 * M_PI))); | ^~~~~~~~ tinyVAST.cpp:503:24: required from ‘tmbutils::array delta_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 503 | nll += GMRF(Q_hh)( delta_h1 ); | ~~~~~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:1203:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1203 | delta_tc = delta_distribution( delta_tc, model_options, Rho_time_hh, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1204 | Gamma_time_hh, Gammainv_time_hh, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:167:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator > >, Eigen::Product, Eigen::MatrixWrapper >, 0>, 0> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product > >, Eigen::Product, Eigen::MatrixWrapper >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product > >, Eigen::Product, Eigen::MatrixWrapper >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:300:128: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 300 | (gamma_segment.matrix().transpose()*(S_block * gamma_segment.matrix())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/array.hpp:302:3: required from ‘tmbutils::array tmbutils::array::operator/(T) [with T = double; Type = double]’ 298 | array OP(T y){return array(MapBase::OP(y),dim);} | ~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:970:23: required from ‘density::SCALE_t::scalartype density::SCALE_t::operator()(arraytype) [with distribution = density::GMRF_t; scalartype = double; arraytype = tmbutils::array]’ 970 | scalartype ans=f(x/scale); | ~^~~~~~ tinyVAST.cpp:390:56: required from ‘Type xi_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix) [with Type = double]’ 390 | nll += SCALE( GMRF(Q_ss), exp(log_sigmaxi_l(l)) )( xi_sl.col(l) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ tinyVAST.cpp:1214:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1214 | nll += xi_distribution( xi_sl, log_sigmaxi_l, Q_ss ); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:398:143: required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator/=(const typename Eigen::internal::traits::Scalar&) [with _MatrixType = Eigen::Matrix; unsigned int _Mode = 1; TriangularViewType = Eigen::TriangularView, 1>; typename Eigen::internal::traits::Scalar = double]’ 398 | TriangularViewType& operator/=(const typename internal::traits::Scalar& other) { return *this = derived().nestedExpression() / other; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:455:40: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 455 | mat.template triangularView() /= scale; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:568:20: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ 568 | eivec.col(i).swap(eivec.col(k+i)); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>’ 50 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 255 | class Map, Options, StrideType> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:21:17: required from ‘Eigen::SparseMatrix pattern(const Eigen::SparseMatrix&, std::vector) [with NewType = double; OldType = TMBad::global::ad_aug]’ 21 | return Eigen::Map > (S.rows(), | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 22 | S.cols(), | ~~~~~~~~~ 23 | S.nonZeros(), | ~~~~~~~~~~~~~ 24 | S.outerIndexPtr(), | ~~~~~~~~~~~~~~~~~~ 25 | S.innerIndexPtr(), | ~~~~~~~~~~~~~~~~~~ 26 | x.data(), | ~~~~~~~~~ 27 | S.innerNonZeroPtr()); | ~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1332:64: required from ‘Type newton::log_determinant(const Eigen::SparseMatrix&, std::shared_ptr > > >) [with Type = TMBad::global::ad_aug]’ 1332 | TMBad::global::Complete > LD(pattern(H), ptr->llt); | ~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_sparse_t > >]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1555:25: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1555 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1181 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1063:7: required from ‘void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >; SparseMatrixType = Eigen::SparseMatrix; DupFunctor = scalar_sum_op]’ 1063 | mat = trMat; | ~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1110 | internal::set_from_triplets >(begin, end, *this, internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/spmat.hpp:24:22: required from ‘Eigen::SparseMatrix tmbutils::asSparseMatrix(SEXP) [with Type = double; SEXP = SEXPREC*]’ 24 | mat.setFromTriplets(tripletList.begin(), tripletList.end()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:978:3: required from ‘Type objective_function::operator()() [with Type = double]’ 302 | Eigen::SparseMatrix name(tmbutils::asSparseMatrix( \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ 303 | getListElement(TMB_OBJECTIVE_PTR -> data, \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | #name, &isValidSparseMatrix))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::SparseMatrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::SparseMatrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::SparseMatrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::SparseMatrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:897:23: required from ‘density::GMRF_t::arraytype density::GMRF_t::jacobian(arraytype) [with scalartype_ = double; arraytype = tmbutils::array]’ 897 | matrixtype mQ = m * Q; | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:1123:17: required from ‘density::SEPARABLE_t::arraytype density::SEPARABLE_t::jacobian(arraytype) [with distribution1 = density::GMRF_t; distribution2 = density::GMRF_t; arraytype = tmbutils::array]’ 1123 | x=f.jacobian(x); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:1143:7: required from ‘density::SEPARABLE_t::scalartype density::SEPARABLE_t::operator()(arraytype) [with distribution1 = density::GMRF_t; distribution2 = density::GMRF_t; scalartype = double; arraytype = tmbutils::array]’ 1143 | y=jacobian(x); | ^~~~~~~~ tinyVAST.cpp:355:51: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 355 | nll += SEPARABLE( GMRF(Q_cc), GMRF(Q_ss) )( omega_sc ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:105:51: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 105 | Map > U(tempv.data(), u_rows, u_cols, OuterStride<>(ldu)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:139:25: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 139 | MappedMatrixBlock A(glu.lusup.data()+luptr, u_rows, u_rows, OuterStride<>(lda) ); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 16, Eigen::OuterStride<> > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:140:55: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 140 | U = A.template triangularView().solve(U); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false>, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Block, -1, 1, false> >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:168:53: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 168 | u = A.template triangularView().solve(u); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 732 | info = Base::column_bmod(jj, (nseg - nseg1), dense_k, tempv, segrep_k, repfnz_k, jcol, m_glu); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:22: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 172 | l.noalias() -= A * u; | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 732 | info = Base::column_bmod(jj, (nseg - nseg1), dense_k, tempv, segrep_k, repfnz_k, jcol, m_glu); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:292:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >’ 292 | struct evaluator, Options, StrideType> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 687 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:21:17: required from ‘Eigen::SparseMatrix pattern(const Eigen::SparseMatrix&, std::vector) [with NewType = double; OldType = TMBad::global::ad_aug]’ 21 | return Eigen::Map > (S.rows(), | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 22 | S.cols(), | ~~~~~~~~~ 23 | S.nonZeros(), | ~~~~~~~~~~~~~ 24 | S.outerIndexPtr(), | ~~~~~~~~~~~~~~~~~~ 25 | S.innerIndexPtr(), | ~~~~~~~~~~~~~~~~~~ 26 | x.data(), | ~~~~~~~~~ 27 | S.innerNonZeroPtr()); | ~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1332:64: required from ‘Type newton::log_determinant(const Eigen::SparseMatrix&, std::shared_ptr > > >) [with Type = TMBad::global::ad_aug]’ 1332 | TMBad::global::Complete > LD(pattern(H), ptr->llt); | ~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1452:27: required from ‘Type newton::NewtonSolver::Laplace() [with Functor = newton::slice<>; Type = TMBad::global::ad_aug; Hessian_Type = newton::jacobian_sparse_t > >]’ 1452 | .5 * log_determinant( hessian(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~ 1453 | Base::hessian) - | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1555:25: required from ‘Type newton::Laplace(Functor&, Eigen::Array&, newton_config) [with Functor = slice<>; Type = TMBad::global::ad_aug]’ 1555 | return opt.Laplace(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1600:18: required from ‘ADFun newton::slice::Laplace_(newton::newton_config) [with ADFun = TMBad::ADFun<>]’ 1600 | T y = Laplace(*this, start, cfg); | ~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1608:63: required from here 1610 | return S.Laplace_(cfg); | ~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ tinyVAST.cpp:145:11: required from ‘Eigen::SparseMatrix G_spde_covariates(spde_covariates_t, tmbutils::matrix, tmbutils::vector) [with Type = double]’ 145 | Gt_vv = (edges_vj * adjH_jj * edges_vj.transpose()) * exp(triangle_t1(t,0)); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1152:53: required from ‘Type objective_function::operator()() [with Type = double]’ 1152 | Eigen::SparseMatrix G1 = G_spde_covariates( spatial_list, H, triangle_k ); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:166: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:148:65: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 148 | Index offset = (PacketSize-internal::first_default_aligned(B.data(), PacketSize)) % PacketSize; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 152 | internal::sparselu_gemm(L.rows(), L.cols(), B.cols(), B.data(), B.outerStride(), U.data(), U.outerStride(), L.data(), L.outerStride()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 152 | internal::sparselu_gemm(L.rows(), L.cols(), B.cols(), B.data(), B.outerStride(), U.data(), U.outerStride(), L.data(), L.outerStride()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 152 | internal::sparselu_gemm(L.rows(), L.cols(), B.cols(), B.data(), B.outerStride(), U.data(), U.outerStride(), L.data(), L.outerStride()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:261:76: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ 261 | if(rd==1) MapVector(C+j*ldc+ib,actual_b) += B[0+d_end+j*ldb] * ConstMapVector(A+(d_end+0)*lda+ib, actual_b); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 152 | internal::sparselu_gemm(L.rows(), L.cols(), B.cols(), B.data(), B.outerStride(), U.data(), U.outerStride(), L.data(), L.outerStride()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:264:57: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ 263 | else if(rd==2) MapVector(C+j*ldc+ib,actual_b) += B[0+d_end+j*ldb] * ConstMapVector(A+(d_end+0)*lda+ib, actual_b) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 264 | + B[1+d_end+j*ldb] * ConstMapVector(A+(d_end+1)*lda+ib, actual_b); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 152 | internal::sparselu_gemm(L.rows(), L.cols(), B.cols(), B.data(), B.outerStride(), U.data(), U.outerStride(), L.data(), L.outerStride()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h:268:57: required from ‘void Eigen::internal::sparselu_gemm(Eigen::Index, Eigen::Index, Eigen::Index, const Scalar*, Eigen::Index, const Scalar*, Eigen::Index, Scalar*, Eigen::Index) [with Scalar = double; Eigen::Index = long int]’ 266 | else MapVector(C+j*ldc+ib,actual_b) += B[0+d_end+j*ldb] * ConstMapVector(A+(d_end+0)*lda+ib, actual_b) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 267 | + B[1+d_end+j*ldb] * ConstMapVector(A+(d_end+1)*lda+ib, actual_b) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 268 | + B[2+d_end+j*ldb] * ConstMapVector(A+(d_end+2)*lda+ib, actual_b); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:152:38: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 152 | internal::sparselu_gemm(L.rows(), L.cols(), B.cols(), B.data(), B.outerStride(), U.data(), U.outerStride(), L.data(), L.outerStride()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 2; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >’ 18 | struct traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 0, Eigen::OuterStride<> > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:58:94: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ 58 | Map, 0, OuterStride<> > A( &(lusup.data()[luptr]), segsize, segsize, OuterStride<>(lda) ); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:51: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = -1; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:212:59: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 212 | else LU_kernel_bmod::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Array; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Array; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/convenience.hpp:34:15: required from ‘Type sum(Vector) [with Vector = tmbutils::vector; Type = double]’ 34 | return x.sum(); | ~~~~~^~ tinyVAST.cpp:1365:25: required from ‘Type objective_function::operator()() [with Type = double]’ 1365 | Type sumphi0 = sum(phi0_g); | ~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ 548 | internal::tridiagonal_qr_step(diag.data(), subdiag.data(), start, end, computeEigenvectors ? eivec.data() : (Scalar*)0, n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ 22 | class SparseTransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ 45 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:30:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:671:15: required from ‘void Eigen::SimplicialCholeskyBase::ordering(const MatrixType&, const CholMatrixType*&, CholMatrixType&) [with Derived = Eigen::SimplicialLLT >; MatrixType = Eigen::SparseMatrix; ConstCholMatrixPtr = const Eigen::SparseMatrix*; CholMatrixType = Eigen::SparseMatrix]’ 671 | ordering(C,m_Pinv); | ~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:208:7: required from ‘void Eigen::SimplicialCholeskyBase::compute(const MatrixType&) [with bool DoLDLT = false; Derived = Eigen::SimplicialLLT >; MatrixType = Eigen::SparseMatrix]’ 208 | ordering(matrix, pmat, tmp); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:374:36: required from ‘Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>& Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; int _UpLo = 1; _Ordering = Eigen::AMDOrdering; MatrixType = Eigen::SparseMatrix]’ 374 | Base::template compute(matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:97:24: required from ‘Eigen::SimplicialCholeskyBase::SimplicialCholeskyBase(const MatrixType&) [with Derived = Eigen::SimplicialLLT >; MatrixType = Eigen::SparseMatrix]’ 97 | derived().compute(matrix); | ~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:357:22: required from ‘Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>::SimplicialLLT(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; int _UpLo = 1; _Ordering = Eigen::AMDOrdering; MatrixType = Eigen::SparseMatrix]’ 357 | : Base(matrix) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1351:37: required from here 1351 | DEFAULT_SPARSE_FACTORIZATION llt(H); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:36:14: required from ‘void Eigen::internal::ordering_helper_at_plus_a(const MatrixType&, MatrixType&) [with MatrixType = Eigen::SparseMatrix]’ 36 | symmat = C + A; | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h:63:42: required from ‘void Eigen::AMDOrdering::operator()(const MatrixType&, PermutationType&) [with MatrixType = Eigen::SparseMatrix; StorageIndex = int; PermutationType = Eigen::PermutationMatrix<-1, -1, int>]’ 63 | internal::ordering_helper_at_plus_a(mat,symm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:671:15: required from ‘void Eigen::SimplicialCholeskyBase::ordering(const MatrixType&, const CholMatrixType*&, CholMatrixType&) [with Derived = Eigen::SimplicialLLT >; MatrixType = Eigen::SparseMatrix; ConstCholMatrixPtr = const Eigen::SparseMatrix*; CholMatrixType = Eigen::SparseMatrix]’ 671 | ordering(C,m_Pinv); | ~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:208:7: required from ‘void Eigen::SimplicialCholeskyBase::compute(const MatrixType&) [with bool DoLDLT = false; Derived = Eigen::SimplicialLLT >; MatrixType = Eigen::SparseMatrix]’ 208 | ordering(matrix, pmat, tmp); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:374:36: required from ‘Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>& Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; int _UpLo = 1; _Ordering = Eigen::AMDOrdering; MatrixType = Eigen::SparseMatrix]’ 374 | Base::template compute(matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:97:24: required from ‘Eigen::SimplicialCholeskyBase::SimplicialCholeskyBase(const MatrixType&) [with Derived = Eigen::SimplicialLLT >; MatrixType = Eigen::SparseMatrix]’ 97 | derived().compute(matrix); | ~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:357:22: required from ‘Eigen::SimplicialLLT<_MatrixType, _UpLo, _Ordering>::SimplicialLLT(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; int _UpLo = 1; _Ordering = Eigen::AMDOrdering; MatrixType = Eigen::SparseMatrix]’ 357 | : Base(matrix) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1351:37: required from here 1351 | DEFAULT_SPARSE_FACTORIZATION llt(H); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:1145:39: required from ‘density::SEPARABLE_t::scalartype density::SEPARABLE_t::operator()(arraytype) [with distribution1 = density::GMRF_t; distribution2 = density::GMRF_t; scalartype = double; arraytype = tmbutils::array]’ 1145 | scalartype q=scalartype(.5)*(y.sum()); | ~~~~~~^~~ tinyVAST.cpp:355:51: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 355 | nll += SEPARABLE( GMRF(Q_cc), GMRF(Q_ss) )( omega_sc ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:106:31: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 106 | LU_kernel_bmod<1>::run(segsize, dense, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 732 | info = Base::column_bmod(jj, (nseg - nseg1), dense_k, tempv, segrep_k, repfnz_k, jcol, m_glu); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7: required from ‘Eigen::MapBase::ScalarWithConstIfNotLvalue& Eigen::MapBase::coeffRef(Eigen::Index) [with Derived = Eigen::Block, -1, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long int]’ 15 | EIGEN_STATIC_ASSERT((int(internal::evaluator::Flags) & LinearAccessBit) || Derived::IsVectorAtCompileTime, \ | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:25: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 367 | matA.col(i).coeffRef(i+1) = 1; | ~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block >, -1, 1, true>; VectorY = Eigen::Block >, -1, 1, true>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map >; Eigen::Index = long int]’ 315 | internal::apply_rotation_in_the_plane(x, y, j.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ 895 | q.applyOnTheRight(k,k+1,rot); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ 548 | internal::tridiagonal_qr_step(diag.data(), subdiag.data(), start, end, computeEigenvectors ? eivec.data() : (Scalar*)0, n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::MatrixWrapper >, 0> > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::MatrixWrapper >, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::MatrixWrapper >, 0> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::MatrixWrapper >, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::MatrixWrapper >, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:887:46: required from ‘density::GMRF_t::scalartype density::GMRF_t::Quadform(vectortype) [with scalartype_ = double; scalartype = double; vectortype = tmbutils::vector]’ 887 | return (x * (Q * x.matrix()).array()).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:890:57: required from ‘density::GMRF_t::scalartype density::GMRF_t::operator()(vectortype) [with scalartype_ = double; scalartype = double; vectortype = tmbutils::vector]’ 890 | return -scalartype(.5) * logdetQ + scalartype(.5) * Quadform(x) + x.size() * scalartype(log(sqrt(2.0 * M_PI))); | ^~~~~~~~ tinyVAST.cpp:503:24: required from ‘tmbutils::array delta_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 503 | nll += GMRF(Q_hh)( delta_h1 ); | ~~~~~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:1203:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1203 | delta_tc = delta_distribution( delta_tc, model_options, Rho_time_hh, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1204 | Gamma_time_hh, Gammainv_time_hh, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product > >, Eigen::Product, Eigen::MatrixWrapper >, 0>, 0>; XprType = Eigen::Product > >, Eigen::Product, Eigen::MatrixWrapper >, 0>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product > >, Eigen::Product, Eigen::MatrixWrapper >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product > >, Eigen::Product, Eigen::MatrixWrapper >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:300:128: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 300 | (gamma_segment.matrix().transpose()*(S_block * gamma_segment.matrix())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > > >, const Eigen::Product, Eigen::MatrixWrapper >, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > > >, const Eigen::Product, Eigen::MatrixWrapper >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > > >, const Eigen::Product, Eigen::MatrixWrapper >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > > >, const Eigen::Product, Eigen::MatrixWrapper >, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > > >, const Eigen::Product, Eigen::MatrixWrapper >, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Product, Eigen::MatrixWrapper >, 0>]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product > >, Eigen::Product, Eigen::MatrixWrapper >, 0>, 0>; XprType = Eigen::Product > >, Eigen::Product, Eigen::MatrixWrapper >, 0>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product > >, Eigen::Product, Eigen::MatrixWrapper >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product > >, Eigen::Product, Eigen::MatrixWrapper >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:300:128: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 300 | (gamma_segment.matrix().transpose()*(S_block * gamma_segment.matrix())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:46: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 533 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 537 | matrix LU=X.lu().matrixLU(); // Use Eigen LU decomposition | ~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = double]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:318:33: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 318 | nll -= 0.5*(atomic::logdet(matrix(S_block))) - 0.5 * | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseUnaryOp, const Eigen::Array > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 539 | double res=LUdiag.abs().log().sum(); | ~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = double]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:318:33: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 318 | nll -= 0.5*(atomic::logdet(matrix(S_block))) - 0.5 * | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::Block, -1, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::Block, -1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::Block, -1, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Array]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::VectorBlock, -1>; OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Array]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:210:31: required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::VectorBlock, -1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 210 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:24:22: required from ‘tmbutils::vector::vector(T1) [with T1 = Eigen::VectorBlock, -1>; Type = double]’ 24 | vector(T1 x):Base(x) {} | ^ tinyVAST.cpp:1267:55: required from ‘Type objective_function::operator()() [with Type = double]’ 1267 | vector log_sigma_segment = log_sigma.segment( Edims_ez(e_i(i),0), Edims_ez(e_i(i),1) ); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:333: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 87 | typedef typename Traits::LhsPacket LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 91 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 95 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl >, Eigen::SolverStorage>’ 68 | class InverseImpl | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse > >’ 43 | class Inverse : public InverseImpl::StorageKind> | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:43: required from ‘static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; int Size = -1]’ 28 | result = matrix.partialPivLu().inverse(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Inverse >; OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Inverse >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:36:36: required from ‘atomic::Block atomic::Block::inverse() [with Type = double]’ 36 | return Block( this->A.inverse() ); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:257:33: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 257 | matrix_pade invD = D.inverse(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 453 | RealScalar scale = mat.cwiseAbs().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 93 | essential = tail / (c0 - beta); | ~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ 34 | (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ 35 | + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ 34 | (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 35 | + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 2>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, true>, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:327:38: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:370:59: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 370 | matrix omega3_cs = inverseIminusRho_cc.solve(omega2_cs); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 2>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, 1, true>, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:335:48: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:370:59: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 370 | matrix omega3_cs = inverseIminusRho_cc.solve(omega2_cs); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:1290:45: required from ‘Type objective_function::operator()() [with Type = double]’ 1290 | matrix covX_jj = X_ij.transpose() * X_ij; | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:1290:45: required from ‘Type objective_function::operator()() [with Type = double]’ 1290 | matrix covX_jj = X_ij.transpose() * X_ij; | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:1290:45: required from ‘Type objective_function::operator()() [with Type = double]’ 1290 | matrix covX_jj = X_ij.transpose() * X_ij; | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, 1, -1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:1290:45: required from ‘Type objective_function::operator()() [with Type = double]’ 1290 | matrix covX_jj = X_ij.transpose() * X_ij; | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:330: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:147:40: required from ‘void Eigen::internal::evaluateProductBlockingSizesHeuristic(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]’ 147 | typedef typename Traits::ResScalar ResScalar; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:342:81: required from ‘void Eigen::internal::computeProductBlockingSizes(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]’ 342 | evaluateProductBlockingSizesHeuristic(k, m, n, num_threads); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:355:66: required from ‘Eigen::internal::gemm_blocking_space::gemm_blocking_space(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, bool) [with int StorageOrder = 0; _LhsScalar = double; _RhsScalar = double; int MaxRows = -1; int MaxCols = -1; int MaxDepth = -1; int KcFactor = 1; Eigen::Index = long int]’ 355 | computeProductBlockingSizes(this->m_kc, this->m_mc, this->m_nc, num_threads); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:507:18: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 507 | BlockingType blocking(dst.rows(), dst.cols(), lhs.cols(), 1, true); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 82 | gebp_kernel gebp; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 82 | gebp_kernel gebp; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 79 | Scalar c0 = coeff(0); | ~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 363 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:173:20: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/spmat.hpp:144:32: required from ‘tmbutils::matrix tmbutils::invertSparseMatrix(Eigen::SparseMatrix) [with Type = double]’ 144 | matrix ans = ldlt.solve(I); | ~~~~~~~~~~^~~ tinyVAST.cpp:350:50: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 350 | matrix Vinv_cc = invertSparseMatrix( V_cc ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 5> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 5, Eigen::Sparse>’ 25 | template class TriangularViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 5>’ 187 | template class TriangularView | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:178:26: required from ‘void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLDLT >]’ 178 | derived().matrixL().solveInPlace(dest); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLDLT >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/spmat.hpp:144:32: required from ‘tmbutils::matrix tmbutils::invertSparseMatrix(Eigen::SparseMatrix) [with Type = double]’ 144 | matrix ans = ldlt.solve(I); | ~~~~~~~~~~^~~ tinyVAST.cpp:350:50: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 350 | matrix Vinv_cc = invertSparseMatrix( V_cc ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47: required from ‘struct Eigen::internal::traits, const Eigen::Matrix > > >’ 278 | typedef typename DiagonalVectorType::Scalar Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/spmat.hpp:144:32: required from ‘tmbutils::matrix tmbutils::invertSparseMatrix(Eigen::SparseMatrix) [with Type = double]’ 144 | matrix ans = ldlt.solve(I); | ~~~~~~~~~~^~~ tinyVAST.cpp:350:50: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 350 | matrix Vinv_cc = invertSparseMatrix( V_cc ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:181:46: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/spmat.hpp:144:32: required from ‘tmbutils::matrix tmbutils::invertSparseMatrix(Eigen::SparseMatrix) [with Type = double]’ 144 | matrix ans = ldlt.solve(I); | ~~~~~~~~~~^~~ tinyVAST.cpp:350:50: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 350 | matrix Vinv_cc = invertSparseMatrix( V_cc ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 6> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>’ 25 | template class TriangularViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 6>’ 187 | template class TriangularView | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:184:26: required from ‘void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLDLT >]’ 184 | derived().matrixU().solveInPlace(dest); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLDLT >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/spmat.hpp:144:32: required from ‘tmbutils::matrix tmbutils::invertSparseMatrix(Eigen::SparseMatrix) [with Type = double]’ 144 | matrix ans = ldlt.solve(I); | ~~~~~~~~~~^~~ tinyVAST.cpp:350:50: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 350 | matrix Vinv_cc = invertSparseMatrix( V_cc ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:852:80: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:370:59: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 370 | matrix omega3_cs = inverseIminusRho_cc.solve(omega2_cs); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 2>, Eigen::Map, 0, Eigen::OuterStride<> > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:854:53: required from ‘void Eigen::SparseLUMatrixUReturnType::solveInPlace(Eigen::MatrixBase&) const [with Dest = Eigen::Matrix; MatrixLType = Eigen::internal::MappedSuperNodalMatrix; MatrixUType = Eigen::MappedSparseMatrix]’ 854 | U = A.template triangularView().solve(U); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:331:35: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:370:59: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 370 | matrix omega3_cs = inverseIminusRho_cc.solve(omega2_cs); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 537 | matrix LU=X.lu().matrixLU(); // Use Eigen LU decomposition | ~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = double]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:318:33: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 318 | nll -= 0.5*(atomic::logdet(matrix(S_block))) - 0.5 * | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<-1, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<-1, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<-1, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 537 | matrix LU=X.lu().matrixLU(); // Use Eigen LU decomposition | ~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = double]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:318:33: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 318 | nll -= 0.5*(atomic::logdet(matrix(S_block))) - 0.5 * | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 537 | matrix LU=X.lu().matrixLU(); // Use Eigen LU decomposition | ~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = double]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:318:33: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 318 | nll -= 0.5*(atomic::logdet(matrix(S_block))) - 0.5 * | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]’ 288 | typename internal::enable_if::MatchAtCompileTime),Derived>::type* = 0); | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 463 | BlockType A_0 = lu.block(0,0,rows,k); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 537 | matrix LU=X.lu().matrixLU(); // Use Eigen LU decomposition | ~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = double]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:318:33: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 318 | nll -= 0.5*(atomic::logdet(matrix(S_block))) - 0.5 * | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 537 | matrix LU=X.lu().matrixLU(); // Use Eigen LU decomposition | ~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = double]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:318:33: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 318 | nll -= 0.5*(atomic::logdet(matrix(S_block))) - 0.5 * | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:30: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 537 | matrix LU=X.lu().matrixLU(); // Use Eigen LU decomposition | ~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = double]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:318:33: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 318 | nll -= 0.5*(atomic::logdet(matrix(S_block))) - 0.5 * | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:1290:45: required from ‘Type objective_function::operator()() [with Type = double]’ 1290 | matrix covX_jj = X_ij.transpose() * X_ij; | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:1290:45: required from ‘Type objective_function::operator()() [with Type = double]’ 1290 | matrix covX_jj = X_ij.transpose() * X_ij; | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 184 | pack_lhs(blockA, lhs.getSubMapper(i2,k2), actual_kc, actual_mc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:195:21: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 195 | pack_rhs(blockB, rhs.getSubMapper(k2,j2), actual_kc, actual_nc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:198:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 198 | gebp(res.getSubMapper(i2, j2), blockA, blockB, actual_mc, actual_kc, actual_nc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:56:31: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:56:31: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:56:31: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:56:31: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::MatrixWrapper >, 0>; OtherDerived = Eigen::Product, Eigen::MatrixWrapper >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::MatrixWrapper >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::MatrixWrapper >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:121:40: required from ‘Eigen::SparseMatrix G_spde_covariates(spde_covariates_t, tmbutils::matrix, tmbutils::vector) [with Type = double]’ 121 | matrix triangle_t1 = spde.V_zk * triangle_k.matrix(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1152:53: required from ‘Type objective_function::operator()() [with Type = double]’ 1152 | Eigen::SparseMatrix G1 = G_spde_covariates( spatial_list, H, triangle_k ); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 172 | l.noalias() -= A * u; | ~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 732 | info = Base::column_bmod(jj, (nseg - nseg1), dense_k, tempv, segrep_k, repfnz_k, jcol, m_glu); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 172 | l.noalias() -= A * u; | ~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 732 | info = Base::column_bmod(jj, (nseg - nseg1), dense_k, tempv, segrep_k, repfnz_k, jcol, m_glu); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 0, Eigen::OuterStride<> >, 5>, Eigen::Map, 0, Eigen::OuterStride<> > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:278:57: required from ‘void Eigen::internal::MappedSuperNodalMatrix<_Scalar, _StorageIndex>::solveInPlace(Eigen::MatrixBase&) const [with Dest = Eigen::Matrix; _Scalar = double; _StorageIndex = int]’ 278 | U = A.template triangularView().solve(U); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:809:24: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:370:59: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 370 | matrix omega3_cs = inverseIminusRho_cc.solve(omega2_cs); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h:282:42: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:370:59: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 370 | matrix omega3_cs = inverseIminusRho_cc.solve(omega2_cs); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 537 | matrix LU=X.lu().matrixLU(); // Use Eigen LU decomposition | ~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = double]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:318:33: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 318 | nll -= 0.5*(atomic::logdet(matrix(S_block))) - 0.5 * | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 537 | matrix LU=X.lu().matrixLU(); // Use Eigen LU decomposition | ~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = double]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:318:33: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 318 | nll -= 0.5*(atomic::logdet(matrix(S_block))) - 0.5 * | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 377 | = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 537 | matrix LU=X.lu().matrixLU(); // Use Eigen LU decomposition | ~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = double]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:318:33: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 318 | nll -= 0.5*(atomic::logdet(matrix(S_block))) - 0.5 * | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 537 | matrix LU=X.lu().matrixLU(); // Use Eigen LU decomposition | ~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = double]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:318:33: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 318 | nll -= 0.5*(atomic::logdet(matrix(S_block))) - 0.5 * | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 537 | matrix LU=X.lu().matrixLU(); // Use Eigen LU decomposition | ~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = double]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:318:33: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 318 | nll -= 0.5*(atomic::logdet(matrix(S_block))) - 0.5 * | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:1290:45: required from ‘Type objective_function::operator()() [with Type = double]’ 1290 | matrix covX_jj = X_ij.transpose() * X_ij; | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:1290:45: required from ‘Type objective_function::operator()() [with Type = double]’ 1290 | matrix covX_jj = X_ij.transpose() * X_ij; | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Array]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:210:31: required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 210 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:24:22: required from ‘tmbutils::vector::vector(T1) [with T1 = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Type = double]’ 24 | vector(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:31:47: required from ‘Type atomic::Block::norm() [with Type = double]’ 31 | vector rsAabs = Aabs.rowwise().sum(); | ~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:237:37: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 237 | double log2NormInf = log( A.norm() ); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 2, -1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from ‘PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]’ 217 | PanelEvaluator panel_eval(panel); | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ 681 | m_functor.template assignPacket(&m_dst.coeffRef(index), m_src.template packet(index)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75: required from ‘static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >, Eigen::internal::assign_op, 0>]’ 437 | kernel.template assignPacket(index); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::PartialReduxExpr, member_sum, 1>; Functor = assign_op]’ 785 | dense_assignment_loop::run(kernel); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; OtherDerived = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Derived = Eigen::Array]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:210:31: required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 210 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:24:22: required from ‘tmbutils::vector::vector(T1) [with T1 = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Type = double]’ 24 | vector(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:31:47: required from ‘Type atomic::Block::norm() [with Type = double]’ 31 | vector rsAabs = Aabs.rowwise().sum(); | ~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:237:37: required from ‘matrix_pade atomic::expm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 237 | double log2NormInf = log( A.norm() ); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:269:52: required from here 272 | if (nargs==1) ans=expm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 366 | dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]’ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:56:31: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:56:31: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 366 | dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]’ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:57:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:341:5: required from ‘Eigen::internal::BlockImpl_dense& Eigen::internal::BlockImpl_dense::operator=(const Eigen::internal::BlockImpl_dense&) [with XprType = Eigen::Matrix; int BlockRows = 1; int BlockCols = -1; bool InnerPanel = false]’ 1207 | Base::operator=(other); \ | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:161:5: required from ‘Eigen::BlockImpl& Eigen::BlockImpl::operator=(const Eigen::BlockImpl&) [with XprType = Eigen::Matrix; int BlockRows = 1; int BlockCols = -1; bool InnerPanel = false]’ 1207 | Base::operator=(other); \ | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:111:5: required from ‘Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::Matrix; int BlockRows = 1; int BlockCols = -1; bool InnerPanel = false]’ 1207 | Base::operator=(other); \ | ~~~~~~~~~~~~~~~^~~~~~~ tinyVAST.cpp:140:21: required from ‘Eigen::SparseMatrix G_spde_covariates(spde_covariates_t, tmbutils::matrix, tmbutils::vector) [with Type = double]’ 140 | edges_vj.row(0) = edge0_tj.row(t); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ tinyVAST.cpp:1152:53: required from ‘Type objective_function::operator()() [with Type = double]’ 1152 | Eigen::SparseMatrix G1 = G_spde_covariates( spatial_list, H, triangle_k ); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > > >, const Eigen::Product, Eigen::MatrixWrapper >, 0> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > > >, const Eigen::Product, Eigen::MatrixWrapper >, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > > >, const Eigen::Product, Eigen::MatrixWrapper >, 0> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > > >, const Eigen::Product, Eigen::MatrixWrapper >, 0> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > > >, const Eigen::Product, Eigen::MatrixWrapper >, 0> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Product, Eigen::MatrixWrapper >, 0>]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product > >, Eigen::Product, Eigen::MatrixWrapper >, 0>, 0>; XprType = Eigen::Product > >, Eigen::Product, Eigen::MatrixWrapper >, 0>, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product > >, Eigen::Product, Eigen::MatrixWrapper >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product > >, Eigen::Product, Eigen::MatrixWrapper >, 0>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:300:128: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 300 | (gamma_segment.matrix().transpose()*(S_block * gamma_segment.matrix())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:1290:45: required from ‘Type objective_function::operator()() [with Type = double]’ 1290 | matrix covX_jj = X_ij.transpose() * X_ij; | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:1290:45: required from ‘Type objective_function::operator()() [with Type = double]’ 1290 | matrix covX_jj = X_ij.transpose() * X_ij; | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:1290:45: required from ‘Type objective_function::operator()() [with Type = double]’ 1290 | matrix covX_jj = X_ij.transpose() * X_ij; | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:18:63: required from here 18 | dmatrix matmul(const dmatrix &x, const dmatrix &y) { return x * y; } | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 81 | gemm_pack_rhs pack_rhs; | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::MatrixWrapper >, 0>; OtherDerived = Eigen::Product, Eigen::MatrixWrapper >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::MatrixWrapper >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::MatrixWrapper >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:121:40: required from ‘Eigen::SparseMatrix G_spde_covariates(spde_covariates_t, tmbutils::matrix, tmbutils::vector) [with Type = double]’ 121 | matrix triangle_t1 = spde.V_zk * triangle_k.matrix(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1152:53: required from ‘Type objective_function::operator()() [with Type = double]’ 1152 | Eigen::SparseMatrix G1 = G_spde_covariates( spatial_list, H, triangle_k ); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 172 | l.noalias() -= A * u; | ~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 732 | info = Base::column_bmod(jj, (nseg - nseg1), dense_k, tempv, segrep_k, repfnz_k, jcol, m_glu); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 172 | l.noalias() -= A * u; | ~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 732 | info = Base::column_bmod(jj, (nseg - nseg1), dense_k, tempv, segrep_k, repfnz_k, jcol, m_glu); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:369:43: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 369 | matrix omega2_cs = Gamma_cc * omega_sc.matrix().transpose(); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:163:51: required from ‘static void Eigen::internal::sparse_time_dense_product_impl::run(const SparseLhsType&, const DenseRhsType&, DenseResType&, const typename Eigen::internal::remove_all::type::Scalar&) [with SparseLhsType = Eigen::SparseMatrix; DenseRhsType = Eigen::Transpose >; DenseResType = Eigen::Matrix; typename Eigen::internal::remove_all::type::Scalar = double; Res = Eigen::Matrix]’ 163 | res.row(it.index()) += (alpha*it.value()) * rhs_j; | ~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:171:90: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:369:43: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 369 | matrix omega2_cs = Gamma_cc * omega_sc.matrix().transpose(); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 184 | pack_lhs(blockA, lhs.getSubMapper(i2,k2), actual_kc, actual_mc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose >, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:1290:45: required from ‘Type objective_function::operator()() [with Type = double]’ 1290 | matrix covX_jj = X_ij.transpose() * X_ij; | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 78 | RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:56:31: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:56:31: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:56:31: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:56:31: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 537 | matrix LU=X.lu().matrixLU(); // Use Eigen LU decomposition | ~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = double]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:318:33: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 318 | nll -= 0.5*(atomic::logdet(matrix(S_block))) - 0.5 * | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 537 | matrix LU=X.lu().matrixLU(); // Use Eigen LU decomposition | ~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = double]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:318:33: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 318 | nll -= 0.5*(atomic::logdet(matrix(S_block))) - 0.5 * | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:1290:45: required from ‘Type objective_function::operator()() [with Type = double]’ 1290 | matrix covX_jj = X_ij.transpose() * X_ij; | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:587:39: required from ‘static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op::Scalar>&) [with DstXprType = Eigen::Map >; MatrixType = Eigen::Matrix; SrcXprType = Eigen::Inverse > >; typename DstXprType::Scalar = double; typename Eigen::PartialPivLU::Scalar = double]’ 587 | dst = src.nestedExpression().solve(MatrixType::Identity(src.rows(), src.cols())); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map >; Src = Eigen::Inverse > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse > >; Derived = Eigen::Map >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:497:1: required from ‘CppAD::vector atomic::matinv(const CppAD::vector&) [with dummy = void]’ 510 | Y = X.inverse(); // Use Eigen matrix inverse (LU) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:639:24: required from ‘tmbutils::matrix atomic::matinv(tmbutils::matrix) [with Type = double]’ 639 | return vec2mat(matinv(mat2vec(x)),n,n); | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:1291:48: required from ‘Type objective_function::operator()() [with Type = double]’ 1291 | matrix precisionX_jj = atomic::matinv(covX_jj); | ~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, const Eigen::Block > >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, const Eigen::Block > >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, const Eigen::Block > >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, const Eigen::Block > >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, const Eigen::Block > >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, const Eigen::Block > >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval > >, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl > >, const Eigen::Block > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, Eigen::Transpose > >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true>, Eigen::Transpose > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true>, Eigen::Transpose > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, 1, -1, true>, Eigen::Transpose > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, 1, -1, true>, Eigen::Transpose > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, 1, -1, true>, Eigen::Transpose > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval > >, 1, -1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl > >, 1, -1, true>, Eigen::Transpose > >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block > >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block > >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block > >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block > >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block > >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block > >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, Eigen::Transpose > >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false>, Eigen::Transpose > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false>, Eigen::Transpose > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, false>, Eigen::Transpose > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, false>, Eigen::Transpose > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, false>, Eigen::Transpose > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, 1, -1, false>, Eigen::Transpose > >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, const Eigen::Block >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, const Eigen::Block >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, const Eigen::Block >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, const Eigen::Block >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, const Eigen::Block >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, const Eigen::Block >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl > >, const Eigen::Block >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, Eigen::Map >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true>, Eigen::Map >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true>, Eigen::Map >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, 1, -1, true>, Eigen::Map >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, 1, -1, true>, Eigen::Map >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, 1, -1, true>, Eigen::Map >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, Eigen::Map >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false>, Eigen::Map >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false>, Eigen::Map >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, false>, Eigen::Map >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, false>, Eigen::Map >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, false>, Eigen::Map >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:337: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]’ 227 | internal::selfadjoint_matrix_vector_product::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’ 805 | selfadjoint_product_impl::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 62 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 63 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::MatrixWrapper >, 0>; OtherDerived = Eigen::Product, Eigen::MatrixWrapper >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::MatrixWrapper >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::MatrixWrapper >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:121:40: required from ‘Eigen::SparseMatrix G_spde_covariates(spde_covariates_t, tmbutils::matrix, tmbutils::vector) [with Type = double]’ 121 | matrix triangle_t1 = spde.V_zk * triangle_k.matrix(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1152:53: required from ‘Type objective_function::operator()() [with Type = double]’ 1152 | Eigen::SparseMatrix G1 = G_spde_covariates( spatial_list, H, triangle_k ); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:168:7: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 168 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 732 | info = Base::column_bmod(jj, (nseg - nseg1), dense_k, tempv, segrep_k, repfnz_k, jcol, m_glu); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:168:7: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 168 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 732 | info = Base::column_bmod(jj, (nseg - nseg1), dense_k, tempv, segrep_k, repfnz_k, jcol, m_glu); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 5; bool Conjugate = false]’ 125 | Map >(rhs+s,r) -= rhs[i] * cjLhs.col(i).segment(s,r); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:168:7: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 168 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 732 | info = Base::column_bmod(jj, (nseg - nseg1), dense_k, tempv, segrep_k, repfnz_k, jcol, m_glu); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 172 | l.noalias() -= A * u; | ~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 732 | info = Base::column_bmod(jj, (nseg - nseg1), dense_k, tempv, segrep_k, repfnz_k, jcol, m_glu); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:172:17: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 172 | l.noalias() -= A * u; | ~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 732 | info = Base::column_bmod(jj, (nseg - nseg1), dense_k, tempv, segrep_k, repfnz_k, jcol, m_glu); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 537 | matrix LU=X.lu().matrixLU(); // Use Eigen LU decomposition | ~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = double]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:318:33: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 318 | nll -= 0.5*(atomic::logdet(matrix(S_block))) - 0.5 * | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:483:24: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 537 | matrix LU=X.lu().matrixLU(); // Use Eigen LU decomposition | ~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = double]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:318:33: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 318 | nll -= 0.5*(atomic::logdet(matrix(S_block))) - 0.5 * | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 155 | pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 493 | A11.template triangularView().solveInPlace(A12); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 537 | matrix LU=X.lu().matrixLU(); // Use Eigen LU decomposition | ~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = double]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:318:33: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 318 | nll -= 0.5*(atomic::logdet(matrix(S_block))) - 0.5 * | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 537 | matrix LU=X.lu().matrixLU(); // Use Eigen LU decomposition | ~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = double]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:318:33: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 318 | nll -= 0.5*(atomic::logdet(matrix(S_block))) - 0.5 * | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 537 | matrix LU=X.lu().matrixLU(); // Use Eigen LU decomposition | ~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = double]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:318:33: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 318 | nll -= 0.5*(atomic::logdet(matrix(S_block))) - 0.5 * | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 537 | matrix LU=X.lu().matrixLU(); // Use Eigen LU decomposition | ~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = double]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:318:33: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 318 | nll -= 0.5*(atomic::logdet(matrix(S_block))) - 0.5 * | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 537 | matrix LU=X.lu().matrixLU(); // Use Eigen LU decomposition | ~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = double]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:318:33: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 318 | nll -= 0.5*(atomic::logdet(matrix(S_block))) - 0.5 * | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 537 | matrix LU=X.lu().matrixLU(); // Use Eigen LU decomposition | ~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = double]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:318:33: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 318 | nll -= 0.5*(atomic::logdet(matrix(S_block))) - 0.5 * | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 537 | matrix LU=X.lu().matrixLU(); // Use Eigen LU decomposition | ~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = double]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:318:33: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 318 | nll -= 0.5*(atomic::logdet(matrix(S_block))) - 0.5 * | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:1290:45: required from ‘Type objective_function::operator()() [with Type = double]’ 1290 | matrix covX_jj = X_ij.transpose() * X_ij; | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:1290:45: required from ‘Type objective_function::operator()() [with Type = double]’ 1290 | matrix covX_jj = X_ij.transpose() * X_ij; | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:1290:45: required from ‘Type objective_function::operator()() [with Type = double]’ 1290 | matrix covX_jj = X_ij.transpose() * X_ij; | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Transpose > >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Transpose > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Transpose > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Transpose > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Transpose > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Transpose > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, 1, -1, true>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, 1, -1, true>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose > >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Map >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Map >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Map >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Map >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Map >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Map >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Map >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Map >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Map >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Map >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Map >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Map >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 169 | this->col(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 131 | this->row(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:50:45: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 50 | matrix Y_ = V.transpose() * Y.A * V; | ~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:56:31: required from ‘atomic::Block atomic::Block::sylvester(atomic::Block) [with Type = double]’ 56 | matrix X = V * Y_ * V.transpose(); | ~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:167:32: required from ‘atomic::Triangle atomic::Triangle::sqrtm() [with BlockType = atomic::nestedTriangle<0>]’ 167 | BlockType B = A.sylvester((*this).B); | ~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<1>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 382 | else if (nargs==2) ans=sqrtm(nestedTriangle<1>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 2, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 0; int Size = 2]’ 124 | rhs.coeffRef(DiagIndex) -= lhs.row(DiagIndex).template segment(StartIndex).transpose() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 125 | .cwiseProduct(rhs.template segment(StartIndex)).sum(); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:142:75: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 3, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 0; int Size = 3]’ 124 | rhs.coeffRef(DiagIndex) -= lhs.row(DiagIndex).template segment(StartIndex).transpose() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 125 | .cwiseProduct(rhs.template segment(StartIndex)).sum(); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:142:75: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:370:59: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 370 | matrix omega3_cs = inverseIminusRho_cc.solve(omega2_cs); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:370:59: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 370 | matrix omega3_cs = inverseIminusRho_cc.solve(omega2_cs); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:370:59: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 370 | matrix omega3_cs = inverseIminusRho_cc.solve(omega2_cs); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:370:59: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 370 | matrix omega3_cs = inverseIminusRho_cc.solve(omega2_cs); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:370:59: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 370 | matrix omega3_cs = inverseIminusRho_cc.solve(omega2_cs); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:370:59: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 370 | matrix omega3_cs = inverseIminusRho_cc.solve(omega2_cs); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:370:59: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 370 | matrix omega3_cs = inverseIminusRho_cc.solve(omega2_cs); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Map, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:370:59: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 370 | matrix omega3_cs = inverseIminusRho_cc.solve(omega2_cs); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 274 | evaluator rhsEval(rhs); | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]’ 329 | internal::outer_product_selector_run(dst, lhs, rhs, sub(), is_row_major()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]’ 178 | generic_product_impl::subTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 537 | matrix LU=X.lu().matrixLU(); // Use Eigen LU decomposition | ~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = double]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:318:33: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 318 | nll -= 0.5*(atomic::logdet(matrix(S_block))) - 0.5 * | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 537 | matrix LU=X.lu().matrixLU(); // Use Eigen LU decomposition | ~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = double]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:318:33: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 318 | nll -= 0.5*(atomic::logdet(matrix(S_block))) - 0.5 * | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 537 | matrix LU=X.lu().matrixLU(); // Use Eigen LU decomposition | ~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = double]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:318:33: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 318 | nll -= 0.5*(atomic::logdet(matrix(S_block))) - 0.5 * | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 537 | matrix LU=X.lu().matrixLU(); // Use Eigen LU decomposition | ~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = double]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:318:33: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 318 | nll -= 0.5*(atomic::logdet(matrix(S_block))) - 0.5 * | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 537 | matrix LU=X.lu().matrixLU(); // Use Eigen LU decomposition | ~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = double]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:318:33: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 318 | nll -= 0.5*(atomic::logdet(matrix(S_block))) - 0.5 * | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 537 | matrix LU=X.lu().matrixLU(); // Use Eigen LU decomposition | ~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = double]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:318:33: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 318 | nll -= 0.5*(atomic::logdet(matrix(S_block))) - 0.5 * | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:1290:45: required from ‘Type objective_function::operator()() [with Type = double]’ 1290 | matrix covX_jj = X_ij.transpose() * X_ij; | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:1290:45: required from ‘Type objective_function::operator()() [with Type = double]’ 1290 | matrix covX_jj = X_ij.transpose() * X_ij; | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:328:60: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::MatrixType Eigen::SelfAdjointEigenSolver<_MatrixType>::operatorSqrt() const [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 328 | return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:82:41: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 82 | matrix X = saes.operatorSqrt(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Transpose >, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:89:71: required from ‘atomic::Block atomic::Block::absm() [with Type = double]’ 89 | matrix X = V * saes.eigenvalues().cwiseAbs().asDiagonal() * V.transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:446:18: required from ‘matrix_pade atomic::absm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 446 | return A.absm(); | ~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:449:52: required from here 452 | if (nargs==1) ans=absm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:897:23: required from ‘density::GMRF_t::arraytype density::GMRF_t::jacobian(arraytype) [with scalartype_ = double; arraytype = tmbutils::array]’ 897 | matrixtype mQ = m * Q; | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:1123:17: required from ‘density::SEPARABLE_t::arraytype density::SEPARABLE_t::jacobian(arraytype) [with distribution1 = density::GMRF_t; distribution2 = density::GMRF_t; arraytype = tmbutils::array]’ 1123 | x=f.jacobian(x); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:1143:7: required from ‘density::SEPARABLE_t::scalartype density::SEPARABLE_t::operator()(arraytype) [with distribution1 = density::GMRF_t; distribution2 = density::GMRF_t; scalartype = double; arraytype = tmbutils::array]’ 1143 | y=jacobian(x); | ^~~~~~~~ tinyVAST.cpp:355:51: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 355 | nll += SEPARABLE( GMRF(Q_cc), GMRF(Q_ss) )( omega_sc ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:35: required from ‘static void Eigen::internal::sparse_time_dense_product_impl::processRow(const LhsEval&, const DenseRhsType&, Res&, const typename Eigen::internal::remove_all::type::Scalar&, Eigen::Index) [with SparseLhsType = Eigen::Transpose >; DenseRhsType = Eigen::Transpose >; DenseResType = Eigen::Transpose >; LhsEval = Eigen::internal::evaluator > >; Res = Eigen::Transpose >; typename Eigen::internal::remove_all::type::Scalar = double; Eigen::Index = long int]’ 145 | res_i += (alpha*it.value()) * rhs.row(it.index()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:137:19: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:897:23: required from ‘density::GMRF_t::arraytype density::GMRF_t::jacobian(arraytype) [with scalartype_ = double; arraytype = tmbutils::array]’ 897 | matrixtype mQ = m * Q; | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:1123:17: required from ‘density::SEPARABLE_t::arraytype density::SEPARABLE_t::jacobian(arraytype) [with distribution1 = density::GMRF_t; distribution2 = density::GMRF_t; arraytype = tmbutils::array]’ 1123 | x=f.jacobian(x); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:1143:7: required from ‘density::SEPARABLE_t::scalartype density::SEPARABLE_t::operator()(arraytype) [with distribution1 = density::GMRF_t; distribution2 = density::GMRF_t; scalartype = double; arraytype = tmbutils::array]’ 1143 | y=jacobian(x); | ^~~~~~~~ tinyVAST.cpp:355:51: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 355 | nll += SEPARABLE( GMRF(Q_cc), GMRF(Q_ss) )( omega_sc ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 1; int Size = 2]’ 124 | rhs.coeffRef(DiagIndex) -= lhs.row(DiagIndex).template segment(StartIndex).transpose() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 125 | .cwiseProduct(rhs.template segment(StartIndex)).sum(); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 1; int Size = 3]’ 124 | rhs.coeffRef(DiagIndex) -= lhs.row(DiagIndex).template segment(StartIndex).transpose() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 125 | .cwiseProduct(rhs.template segment(StartIndex)).sum(); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:370:59: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 370 | matrix omega3_cs = inverseIminusRho_cc.solve(omega2_cs); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:370:59: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 370 | matrix omega3_cs = inverseIminusRho_cc.solve(omega2_cs); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:370:59: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 370 | matrix omega3_cs = inverseIminusRho_cc.solve(omega2_cs); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 537 | matrix LU=X.lu().matrixLU(); // Use Eigen LU decomposition | ~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = double]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:318:33: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 318 | nll -= 0.5*(atomic::logdet(matrix(S_block))) - 0.5 * | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 537 | matrix LU=X.lu().matrixLU(); // Use Eigen LU decomposition | ~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = double]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:318:33: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 318 | nll -= 0.5*(atomic::logdet(matrix(S_block))) - 0.5 * | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 537 | matrix LU=X.lu().matrixLU(); // Use Eigen LU decomposition | ~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = double]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:318:33: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 318 | nll -= 0.5*(atomic::logdet(matrix(S_block))) - 0.5 * | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:1290:45: required from ‘Type objective_function::operator()() [with Type = double]’ 1290 | matrix covX_jj = X_ij.transpose() * X_ij; | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>; U = Eigen::Block > >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block > >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>; U = Eigen::Block > >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>, 1, -1, true>; U = Eigen::Block > >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 73 | triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ tinyVAST.cpp:145:11: required from ‘Eigen::SparseMatrix G_spde_covariates(spde_covariates_t, tmbutils::matrix, tmbutils::vector) [with Type = double]’ 145 | Gt_vv = (edges_vj * adjH_jj * edges_vj.transpose()) * exp(triangle_t1(t,0)); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1152:53: required from ‘Type objective_function::operator()() [with Type = double]’ 1152 | Eigen::SparseMatrix G1 = G_spde_covariates( spatial_list, H, triangle_k ); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 0, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 0, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 0, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:124:102: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 2, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:125:46: required from ‘static void Eigen::internal::triangular_solver_unroller::run(const Lhs&, Rhs&) [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Mode = 5; int LoopIndex = 2; int Size = 3]’ 124 | rhs.coeffRef(DiagIndex) -= lhs.row(DiagIndex).template segment(StartIndex).transpose() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 125 | .cwiseProduct(rhs.template segment(StartIndex)).sum(); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:130:67: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:907:22: required from ‘void Eigen::internal::call_restricted_packet_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 1>; Func = assign_op]’ 907 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:47: required from ‘static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::false_type) [with Dst = Eigen::Block, -1, -1, false>; LhsT = Eigen::Map, 0, Eigen::OuterStride<> >; RhsT = Eigen::Map, 0, Eigen::OuterStride<> >; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >]’ 462 | call_restricted_packet_assignment_no_alias(dst, lhs.lazyProduct(rhs), func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22: required from ‘static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const Lhs&, const Rhs&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Func = Eigen::internal::assign_op; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >]’ 446 | eval_dynamic_impl(dst, | ~~~~~~~~~~~~~~~~~^~~~~ 447 | blas_traits::extract(lhs).template conjugateIf(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | blas_traits::extract(rhs).template conjugateIf(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 449 | func, | ~~~~~ 450 | actualAlpha, | ~~~~~~~~~~~~ 451 | typename conditional::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >]’ 441 | lazyproduct::eval_dynamic(dst, lhs, rhs, internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Map, 0, Eigen::OuterStride<> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:370:59: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 370 | matrix omega3_cs = inverseIminusRho_cc.solve(omega2_cs); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:370:59: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 370 | matrix omega3_cs = inverseIminusRho_cc.solve(omega2_cs); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:370:59: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 370 | matrix omega3_cs = inverseIminusRho_cc.solve(omega2_cs); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:370:59: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 370 | matrix omega3_cs = inverseIminusRho_cc.solve(omega2_cs); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 537 | matrix LU=X.lu().matrixLU(); // Use Eigen LU decomposition | ~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = double]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:318:33: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 318 | nll -= 0.5*(atomic::logdet(matrix(S_block))) - 0.5 * | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 537 | matrix LU=X.lu().matrixLU(); // Use Eigen LU decomposition | ~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = double]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:318:33: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 318 | nll -= 0.5*(atomic::logdet(matrix(S_block))) - 0.5 * | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 537 | matrix LU=X.lu().matrixLU(); // Use Eigen LU decomposition | ~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = double]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:318:33: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 318 | nll -= 0.5*(atomic::logdet(matrix(S_block))) - 0.5 * | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 537 | matrix LU=X.lu().matrixLU(); // Use Eigen LU decomposition | ~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = double]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:318:33: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 318 | nll -= 0.5*(atomic::logdet(matrix(S_block))) - 0.5 * | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 537 | matrix LU=X.lu().matrixLU(); // Use Eigen LU decomposition | ~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = double]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:318:33: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 318 | nll -= 0.5*(atomic::logdet(matrix(S_block))) - 0.5 * | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ tinyVAST.cpp:145:11: required from ‘Eigen::SparseMatrix G_spde_covariates(spde_covariates_t, tmbutils::matrix, tmbutils::vector) [with Type = double]’ 145 | Gt_vv = (edges_vj * adjH_jj * edges_vj.transpose()) * exp(triangle_t1(t,0)); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1152:53: required from ‘Type objective_function::operator()() [with Type = double]’ 1152 | Eigen::SparseMatrix G1 = G_spde_covariates( spatial_list, H, triangle_k ); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 2, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:210:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 210 | else if(segsize==2) LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:370:59: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 370 | matrix omega3_cs = inverseIminusRho_cc.solve(omega2_cs); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:370:59: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 370 | matrix omega3_cs = inverseIminusRho_cc.solve(omega2_cs); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:370:59: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 370 | matrix omega3_cs = inverseIminusRho_cc.solve(omega2_cs); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:370:59: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 370 | matrix omega3_cs = inverseIminusRho_cc.solve(omega2_cs); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ 654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col)); | ~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Product >, Eigen::Matrix, 0>; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:1290:45: required from ‘Type objective_function::operator()() [with Type = double]’ 1290 | matrix covX_jj = X_ij.transpose() * X_ij; | ~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, 1, -1, true>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 182 | return coeff(index); | ~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ tinyVAST.cpp:145:11: required from ‘Eigen::SparseMatrix G_spde_covariates(spde_covariates_t, tmbutils::matrix, tmbutils::vector) [with Type = double]’ 145 | Gt_vv = (edges_vj * adjH_jj * edges_vj.transpose()) * exp(triangle_t1(t,0)); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1152:53: required from ‘Type objective_function::operator()() [with Type = double]’ 1152 | Eigen::SparseMatrix G1 = G_spde_covariates( spatial_list, H, triangle_k ); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 2, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, 2, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 2, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h:61:5: required from ‘static void Eigen::internal::LU_kernel_bmod::run(Eigen::Index, BlockScalarVector&, ScalarVector&, ScalarVector&, Eigen::Index&, Eigen::Index, Eigen::Index, IndexVector&, Eigen::Index, Eigen::Index) [with BlockScalarVector = Eigen::VectorBlock, -1>; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; int SegSizeAtCompileTime = 3; Eigen::Index = long int]’ 61 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h:211:53: required from ‘void Eigen::internal::SparseLUImpl::panel_bmod(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, ScalarVector&, ScalarVector&, IndexVector&, IndexVector&, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; ScalarVector = Eigen::Matrix; IndexVector = Eigen::Matrix; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 211 | else if(segsize==3) LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:710:21: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 710 | Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:168:7: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 168 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 732 | info = Base::column_bmod(jj, (nseg - nseg1), dense_k, tempv, segrep_k, repfnz_k, jcol, m_glu); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h:168:7: required from ‘Eigen::Index Eigen::internal::SparseLUImpl::column_bmod(Eigen::Index, Eigen::Index, BlockScalarVector, ScalarVector&, BlockIndexVector, BlockIndexVector, Eigen::Index, GlobalLU_t&) [with Scalar = double; StorageIndex = int; Eigen::Index = long int; BlockScalarVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; ScalarVector = Eigen::Matrix; BlockIndexVector = Eigen::Ref, 0, Eigen::InnerStride<1> >; GlobalLU_t = Eigen::internal::LU_GlobalLU_t, Eigen::Matrix >]’ 168 | u = A.template triangularView().solve(u); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:732:31: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::factorize(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 732 | info = Base::column_bmod(jj, (nseg - nseg1), dense_k, tempv, segrep_k, repfnz_k, jcol, m_glu); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h:187:7: required from ‘void Eigen::SparseLU<_MatrixType, _OrderingType>::compute(const MatrixType&) [with _MatrixType = Eigen::SparseMatrix; _OrderingType = Eigen::COLAMDOrdering; MatrixType = Eigen::SparseMatrix]’ 187 | factorize(matrix); | ^~~~~~~~~ tinyVAST.cpp:366:36: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 366 | inverseIminusRho_cc.compute(IminusRho_cc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 537 | matrix LU=X.lu().matrixLU(); // Use Eigen LU decomposition | ~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = double]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:318:33: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 318 | nll -= 0.5*(atomic::logdet(matrix(S_block))) - 0.5 * | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 537 | matrix LU=X.lu().matrixLU(); // Use Eigen LU decomposition | ~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = double]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:318:33: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 318 | nll -= 0.5*(atomic::logdet(matrix(S_block))) - 0.5 * | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 537 | matrix LU=X.lu().matrixLU(); // Use Eigen LU decomposition | ~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = double]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:318:33: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 318 | nll -= 0.5*(atomic::logdet(matrix(S_block))) - 0.5 * | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map >; Src = Eigen::Inverse > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse > >; Derived = Eigen::Map >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:497:1: required from ‘CppAD::vector atomic::matinv(const CppAD::vector&) [with dummy = void]’ 510 | Y = X.inverse(); // Use Eigen matrix inverse (LU) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:639:24: required from ‘tmbutils::matrix atomic::matinv(tmbutils::matrix) [with Type = double]’ 639 | return vec2mat(matinv(mat2vec(x)),n,n); | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:1291:48: required from ‘Type objective_function::operator()() [with Type = double]’ 1291 | matrix precisionX_jj = atomic::matinv(covX_jj); | ~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > >; Derived = Eigen::Array]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > >; Derived = Eigen::Array]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:210:31: required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 210 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:24:22: required from ‘tmbutils::vector::vector(T1) [with T1 = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > >; Type = double]’ 24 | vector(T1 x):Base(x) {} | ^ tinyVAST.cpp:1292:41: required from ‘Type objective_function::operator()() [with Type = double]’ 1292 | vector alphaprime_j = alpha_j + (precisionX_jj * (X_ij.transpose() * (pomega1_i + pepsilon1_i + pxi1_i + pdelta1_i).matrix())).array(); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Transpose > >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose > >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map >; Rhs = Eigen::Transpose > >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose > >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false> >, const Eigen::Block >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map >; Rhs = Eigen::Map >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >; Rhs = Eigen::Transpose, -1, 1, false> >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map > >, Eigen::Transpose, -1, 1, false> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>, 1, 1, false>; Derived = Eigen::Block, -1, 1, true>, 1, 1, false>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:370:59: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 370 | matrix omega3_cs = inverseIminusRho_cc.solve(omega2_cs); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:370:59: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 370 | matrix omega3_cs = inverseIminusRho_cc.solve(omega2_cs); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:370:59: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 370 | matrix omega3_cs = inverseIminusRho_cc.solve(omega2_cs); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 537 | matrix LU=X.lu().matrixLU(); // Use Eigen LU decomposition | ~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = double]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:318:33: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 318 | nll -= 0.5*(atomic::logdet(matrix(S_block))) - 0.5 * | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>; Derived = Eigen::Block > >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = add_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Derived = Eigen::Block >, 1, -1, true>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:13: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:897:23: required from ‘density::GMRF_t::arraytype density::GMRF_t::jacobian(arraytype) [with scalartype_ = double; arraytype = tmbutils::array]’ 897 | matrixtype mQ = m * Q; | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:1123:17: required from ‘density::SEPARABLE_t::arraytype density::SEPARABLE_t::jacobian(arraytype) [with distribution1 = density::GMRF_t; distribution2 = density::GMRF_t; arraytype = tmbutils::array]’ 1123 | x=f.jacobian(x); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/density.hpp:1143:7: required from ‘density::SEPARABLE_t::scalartype density::SEPARABLE_t::operator()(arraytype) [with distribution1 = density::GMRF_t; distribution2 = density::GMRF_t; scalartype = double; arraytype = tmbutils::array]’ 1143 | y=jacobian(x); | ^~~~~~~~ tinyVAST.cpp:355:51: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 355 | nll += SEPARABLE( GMRF(Q_cc), GMRF(Q_ss) )( omega_sc ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; SrcXprType = Eigen::Block, -1, 1, true>, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, 1, 1, false>; Src = Eigen::Block, -1, 1, true>, 1, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:370:59: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 370 | matrix omega3_cs = inverseIminusRho_cc.solve(omega2_cs); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; Rhs = Eigen::Map, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Map, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; OtherDerived = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:106:22: required from ‘tmbutils::matrix::matrix(T1) [with T1 = Eigen::Solve, Eigen::COLAMDOrdering >, Eigen::Matrix >; Type = double]’ 106 | matrix(T1 x):Base(x) {} | ^ tinyVAST.cpp:370:59: required from ‘tmbutils::array omega_distribution(tmbutils::array, tmbutils::vector, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Eigen::SparseMatrix, Type&) [with Type = double]’ 370 | matrix omega3_cs = inverseIminusRho_cc.solve(omega2_cs); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ tinyVAST.cpp:1191:32: required from ‘Type objective_function::operator()() [with Type = double]’ 1191 | omega_sc = omega_distribution( omega_sc, model_options, Rho_cc, | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1192 | Gamma_cc, Gammainv_cc, Q_ss, nll ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:619:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 619 | return PartialPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:527:1: required from ‘CppAD::vector atomic::logdet(const CppAD::vector&) [with dummy = void]’ 537 | matrix LU=X.lu().matrixLU(); // Use Eigen LU decomposition | ~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:662:16: required from ‘Type atomic::logdet(tmbutils::matrix) [with Type = double]’ 662 | return logdet(mat2vec(x))[0]; | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:318:33: required from ‘Type gamma_distribution(tmbutils::vector, tmbutils::vector, tmbutils::vector, Eigen::SparseMatrix, tmbutils::vector) [with Type = double]’ 318 | nll -= 0.5*(atomic::logdet(matrix(S_block))) - 0.5 * | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1210:28: required from ‘Type objective_function::operator()() [with Type = double]’ 1210 | nll += gamma_distribution( gamma_k, Sdims, Sblock, S_kk, log_lambda ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > >; Derived = Eigen::Array]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > >; Derived = Eigen::Array]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:210:31: required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 210 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:24:22: required from ‘tmbutils::vector::vector(T1) [with T1 = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > >; Type = double]’ 24 | vector(T1 x):Base(x) {} | ^ tinyVAST.cpp:1292:41: required from ‘Type objective_function::operator()() [with Type = double]’ 1292 | vector alphaprime_j = alpha_j + (precisionX_jj * (X_ij.transpose() * (pomega1_i + pepsilon1_i + pxi1_i + pdelta1_i).matrix())).array(); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > >; Derived = Eigen::Array]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > >; Derived = Eigen::Array]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:210:31: required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 210 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:24:22: required from ‘tmbutils::vector::vector(T1) [with T1 = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > >; Type = double]’ 24 | vector(T1 x):Base(x) {} | ^ tinyVAST.cpp:1292:41: required from ‘Type objective_function::operator()() [with Type = double]’ 1292 | vector alphaprime_j = alpha_j + (precisionX_jj * (X_ij.transpose() * (pomega1_i + pepsilon1_i + pxi1_i + pdelta1_i).matrix())).array(); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator > >, Eigen::Map >, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ 654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col)); | ~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:171:27: required from ‘void TMBad::MatMul::forward(TMBad::ForwardArgs&) [with Type = double; bool XT = false; bool YT = false; bool ZT = false; bool UP = false]’ 171 | matmul(X, Y, Z); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = TMBad::MatMul]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2544:17: required from ‘TMBad::global::ad_segment TMBad::global::add_to_stack(ad_segment, ad_segment, ad_segment) [with OperatorBase = TMBad::MatMul]’ 2544 | pOp->forward(args); | ~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/ad_blas.hpp:79:58: required from ‘void TMBad::matmul(const vmatrix&, const vmatrix&, Eigen::Map >) [with bool XT = false; bool YT = false; bool ZT = false; bool UP = false; vmatrix = Eigen::Matrix]’ 79 | get_glob()->add_to_stack >(xc, yc); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:14:37: required from here 14 | matmul(x, y, zm); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ 194 | ::run(rhs.transpose(),lhs.transpose(), dstT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 150 | Matrix triangularBuffer(a); | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 0> >’ 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 153 | triangularBuffer.diagonal().setZero(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:113:26: required from ‘tmbutils::matrix& tmbutils::matrix::operator=(const T1&) [with T1 = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Type = double]’ 113 | this->Base::operator=(other); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ tinyVAST.cpp:145:11: required from ‘Eigen::SparseMatrix G_spde_covariates(spde_covariates_t, tmbutils::matrix, tmbutils::vector) [with Type = double]’ 145 | Gt_vv = (edges_vj * adjH_jj * edges_vj.transpose()) * exp(triangle_t1(t,0)); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ tinyVAST.cpp:1152:53: required from ‘Type objective_function::operator()() [with Type = double]’ 1152 | Eigen::SparseMatrix G1 = G_spde_covariates( spatial_list, H, triangle_k ); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ 341 | dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:119:18: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ 137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map >; Src = Eigen::Inverse > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse > >; Derived = Eigen::Map >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:497:1: required from ‘CppAD::vector atomic::matinv(const CppAD::vector&) [with dummy = void]’ 510 | Y = X.inverse(); // Use Eigen matrix inverse (LU) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:639:24: required from ‘tmbutils::matrix atomic::matinv(tmbutils::matrix) [with Type = double]’ 639 | return vec2mat(matinv(mat2vec(x)),n,n); | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:1291:48: required from ‘Type objective_function::operator()() [with Type = double]’ 1291 | matrix precisionX_jj = atomic::matinv(covX_jj); | ~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1050:11: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map >; Src = Eigen::Inverse > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse > >; Derived = Eigen::Map >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:497:1: required from ‘CppAD::vector atomic::matinv(const CppAD::vector&) [with dummy = void]’ 510 | Y = X.inverse(); // Use Eigen matrix inverse (LU) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:639:24: required from ‘tmbutils::matrix atomic::matinv(tmbutils::matrix) [with Type = double]’ 639 | return vec2mat(matinv(mat2vec(x)),n,n); | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:1291:48: required from ‘Type objective_function::operator()() [with Type = double]’ 1291 | matrix precisionX_jj = atomic::matinv(covX_jj); | ~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > >; Derived = Eigen::Array]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > >; Derived = Eigen::Array]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:210:31: required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 210 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:24:22: required from ‘tmbutils::vector::vector(T1) [with T1 = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > >; Type = double]’ 24 | vector(T1 x):Base(x) {} | ^ tinyVAST.cpp:1292:41: required from ‘Type objective_function::operator()() [with Type = double]’ 1292 | vector alphaprime_j = alpha_j + (precisionX_jj * (X_ij.transpose() * (pomega1_i + pepsilon1_i + pxi1_i + pdelta1_i).matrix())).array(); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > >; Derived = Eigen::Array]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > >; Derived = Eigen::Array]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:210:31: required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 210 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:24:22: required from ‘tmbutils::vector::vector(T1) [with T1 = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > >; Type = double]’ 24 | vector(T1 x):Base(x) {} | ^ tinyVAST.cpp:1292:41: required from ‘Type objective_function::operator()() [with Type = double]’ 1292 | vector alphaprime_j = alpha_j + (precisionX_jj * (X_ij.transpose() * (pomega1_i + pepsilon1_i + pxi1_i + pdelta1_i).matrix())).array(); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > >; Derived = Eigen::Array]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > >; Derived = Eigen::Array]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:210:31: required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 210 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:24:22: required from ‘tmbutils::vector::vector(T1) [with T1 = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > >; Type = double]’ 24 | vector(T1 x):Base(x) {} | ^ tinyVAST.cpp:1292:41: required from ‘Type objective_function::operator()() [with Type = double]’ 1292 | vector alphaprime_j = alpha_j + (precisionX_jj * (X_ij.transpose() * (pomega1_i + pepsilon1_i + pxi1_i + pdelta1_i).matrix())).array(); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ 137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 39 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block >, 1, -1, false>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block >, 1, -1, false>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block >, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map >; Src = Eigen::Inverse > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse > >; Derived = Eigen::Map >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:497:1: required from ‘CppAD::vector atomic::matinv(const CppAD::vector&) [with dummy = void]’ 510 | Y = X.inverse(); // Use Eigen matrix inverse (LU) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:639:24: required from ‘tmbutils::matrix atomic::matinv(tmbutils::matrix) [with Type = double]’ 639 | return vec2mat(matinv(mat2vec(x)),n,n); | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:1291:48: required from ‘Type objective_function::operator()() [with Type = double]’ 1291 | matrix precisionX_jj = atomic::matinv(covX_jj); | ~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > >; Derived = Eigen::Array]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > >; Derived = Eigen::Array]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:210:31: required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 210 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:24:22: required from ‘tmbutils::vector::vector(T1) [with T1 = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > >; Type = double]’ 24 | vector(T1 x):Base(x) {} | ^ tinyVAST.cpp:1292:41: required from ‘Type objective_function::operator()() [with Type = double]’ 1292 | vector alphaprime_j = alpha_j + (precisionX_jj * (X_ij.transpose() * (pomega1_i + pepsilon1_i + pxi1_i + pdelta1_i).matrix())).array(); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map >; Src = Eigen::Inverse > >]’ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse > >; Derived = Eigen::Map >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:497:1: required from ‘CppAD::vector atomic::matinv(const CppAD::vector&) [with dummy = void]’ 510 | Y = X.inverse(); // Use Eigen matrix inverse (LU) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:639:24: required from ‘tmbutils::matrix atomic::matinv(tmbutils::matrix) [with Type = double]’ 639 | return vec2mat(matinv(mat2vec(x)),n,n); | ~~~~~~^~~~~~~~~~~~ tinyVAST.cpp:1291:48: required from ‘Type objective_function::operator()() [with Type = double]’ 1291 | matrix precisionX_jj = atomic::matinv(covX_jj); | ~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > >; Derived = Eigen::Array]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > >; OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > >; Derived = Eigen::Array]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Array.h:210:31: required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 210 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/vector.hpp:24:22: required from ‘tmbutils::vector::vector(T1) [with T1 = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper, Eigen::Product >, Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Array >, const Eigen::Array > >, 0>, 0> > >; Type = double]’ 24 | vector(T1 x):Base(x) {} | ^ tinyVAST.cpp:1292:41: required from ‘Type objective_function::operator()() [with Type = double]’ 1292 | vector alphaprime_j = alpha_j + (precisionX_jj * (X_ij.transpose() * (pomega1_i + pepsilon1_i + pxi1_i + pdelta1_i).matrix())).array(); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmb_core.hpp:2035:7: required from here 2035 | PROTECT( res = asSEXP( pf->operator()() ) ); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:81:14: required from ‘atomic::Block atomic::Block::sqrtm() [with Type = double]’ 81 | SAES_t saes(A); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:375:19: required from ‘matrix_pade atomic::sqrtm(matrix_pade) [with matrix_pade = nestedTriangle<0>]’ 375 | return A.sqrtm(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/expm.hpp:378:53: required from here 381 | if (nargs==1) ans=sqrtm(nestedTriangle<0>(args)).bottomLeftCorner(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:62:1: required from ‘void atomic::tweedie_logWOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 1; int ninput = 3; int noutput = 2; long int mask = 9]’ 216 | Eigen::Matrix tyw = ty * w; \ | ~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::tweedie_logWOp<1, 3, 2, 9>]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:62:1: required from ‘void atomic::tweedie_logWOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 0; int ninput = 3; int noutput = 1; long int mask = 9]’ 216 | Eigen::Matrix tyw = ty * w; \ | ~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::tweedie_logWOp<0, 3, 1, 9>]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1171:20: required from ‘void newton::NewtonOperator::reverse(TMBad::ReverseArgs&) [with T = double; Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1171 | vector w2 = - hessian -> solve(hessian, hv, w); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/atomic_math.hpp:497:1: required from ‘void atomic::matinvOp::reverse(TMBad::ReverseArgs) [with Type = double; dummy = void]’ 520 | res = -matmul(Yt, tmp); // -f(X)^T*W*f(X)^T | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::matinvOp<>]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:85:17: required from ‘newton::vector::vector(const std::vector&) [with Type = double]’ 85 | Base(Eigen::Map (x.data(), x.size())) { } | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1154:44: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1154 | vector sol = function.DomainVec(); | ~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:11: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:171:40: required from ‘newton::vector newton::HessianSolveVector::solve(const newton::vector&, const newton::vector&) [with Hessian_Type = newton::jacobian_sparse_t > >]’ 171 | matrix xm = x.matrix(); | ~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:191:33: required from ‘void newton::HessianSolveVector::forward(TMBad::ForwardArgs&) [with Hessian_Type = newton::jacobian_sparse_t > >]’ 191 | args.y_segment(0, n) = solve(h, x); | ~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::HessianSolveVector > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1059:51: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1059 | vector diag_cpy = H.diagonal().array(); | ~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:733:15: required from ‘newton::vector newton::jacobian_sparse_plus_lowrank_t::solve(std::shared_ptr >, const newton::vector&, const newton::vector&) [with T = double; Fac = Eigen::SimplicialLDLT >]’ 733 | return y1 - y2; | ~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1171:38: required from ‘void newton::NewtonOperator::reverse(TMBad::ReverseArgs&) [with T = double; Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1171 | vector w2 = - hessian -> solve(hessian, hv, w); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/simplicial_inverse_subset.hpp:152:11: required from ‘Eigen::SimplicialInverseSubset::SpMat Eigen::SimplicialInverseSubset::operator()(SpMat) [with T = double; SpMat = Eigen::SparseMatrix]’ 152 | x = x * 0; | ~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1293:18: required from ‘void newton::LogDetOperator::reverse(TMBad::ReverseArgs&) [with Factorization = Eigen::SimplicialLLT >]’ 1293 | ih = ihessian(ih); | ~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::LogDetOperator<>]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:277:22: required from ‘newton::matrix newton::jacobian_dense_t::llt_solve(const newton::matrix&, const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 277 | return llt->solve(x); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 5>, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 5>, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 5>, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:629:36: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 629 | R = (*(H->llt)).matrixL().solve(R); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:656:32: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 656 | matrix Rtmp = Dtmp * Rpos; | ~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Inverse >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Inverse >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Inverse >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Inverse >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Inverse >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:674:40: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 674 | matrix S2 = (h.H0.inverse()+T).inverse(); | ~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Inverse >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Inverse >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Inverse >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl, const Eigen::Inverse >, const Eigen::Matrix >, Eigen::Dense>’ 68 | class InverseImpl | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse, const Eigen::Inverse >, const Eigen::Matrix > >’ 43 | class Inverse : public InverseImpl::StorageKind> | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:674:51: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 674 | matrix S2 = (h.H0.inverse()+T).inverse(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:675:67: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 675 | matrix Test2 = AXAT(Rneg, h.H0) - AXAT(Rneg, h.H0, T) + AXAT(Rneg, h.H0, T, S2); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:38: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:72: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:50: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:383:22: required from ‘newton::matrix newton::jacobian_sparse_t::llt_solve(const Eigen::SparseMatrix&, const newton::matrix&) [with Factorization = Eigen::SimplicialLLT >]’ 383 | return llt->solve(x); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:173:51: required from ‘newton::vector newton::HessianSolveVector::solve(const newton::vector&, const newton::vector&) [with Hessian_Type = newton::jacobian_sparse_t > >]’ 173 | vector y = hessian -> llt_solve(H, xm).vec(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:191:33: required from ‘void newton::HessianSolveVector::forward(TMBad::ForwardArgs&) [with Hessian_Type = newton::jacobian_sparse_t > >]’ 191 | args.y_segment(0, n) = solve(h, x); | ~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::HessianSolveVector > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:629:36: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLLT >]’ 629 | R = (*(H->llt)).matrixL().solve(R); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Matrix, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, Eigen::Matrix, 0> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:549:37: required from ‘T newton::jacobian_sparse_plus_lowrank_t::sparse_plus_lowrank::diagonal_min() const [with T = double; Fac = Eigen::SimplicialLDLT >]’ 549 | vector D2 = ((G * H0).array() * G.array()).rowwise().sum(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:127:24: required from ‘typename MatrixType::value_type newton::diagonal_min(const MatrixType&) [with MatrixType = jacobian_sparse_plus_lowrank_t > >::sparse_plus_lowrank; typename MatrixType::value_type = double]’ 127 | return M.diagonal_min(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1061:30: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1061 | Scalar m = diagonal_min(H); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:549:40: required from ‘T newton::jacobian_sparse_plus_lowrank_t::sparse_plus_lowrank::diagonal_min() const [with T = double; Fac = Eigen::SimplicialLDLT >]’ 549 | vector D2 = ((G * H0).array() * G.array()).rowwise().sum(); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:127:24: required from ‘typename MatrixType::value_type newton::diagonal_min(const MatrixType&) [with MatrixType = jacobian_sparse_plus_lowrank_t > >::sparse_plus_lowrank; typename MatrixType::value_type = double]’ 127 | return M.diagonal_min(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1061:30: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1061 | Scalar m = diagonal_min(H); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:549:66: required from ‘T newton::jacobian_sparse_plus_lowrank_t::sparse_plus_lowrank::diagonal_min() const [with T = double; Fac = Eigen::SimplicialLDLT >]’ 549 | vector D2 = ((G * H0).array() * G.array()).rowwise().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:127:24: required from ‘typename MatrixType::value_type newton::diagonal_min(const MatrixType&) [with MatrixType = jacobian_sparse_plus_lowrank_t > >::sparse_plus_lowrank; typename MatrixType::value_type = double]’ 127 | return M.diagonal_min(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1061:30: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1061 | Scalar m = diagonal_min(H); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:550:36: required from ‘T newton::jacobian_sparse_plus_lowrank_t::sparse_plus_lowrank::diagonal_min() const [with T = double; Fac = Eigen::SimplicialLDLT >]’ 550 | return (H.diagonal().array() + D2).minCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:127:24: required from ‘typename MatrixType::value_type newton::diagonal_min(const MatrixType&) [with MatrixType = jacobian_sparse_plus_lowrank_t > >::sparse_plus_lowrank; typename MatrixType::value_type = double]’ 127 | return M.diagonal_min(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1061:30: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1061 | Scalar m = diagonal_min(H); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalMatrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalMatrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalMatrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:62:1: required from ‘void atomic::tweedie_logWOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 1; int ninput = 3; int noutput = 2; long int mask = 9]’ 216 | Eigen::Matrix tyw = ty * w; \ | ~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::tweedie_logWOp<1, 3, 2, 9>]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:62:1: required from ‘void atomic::tweedie_logWOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 0; int ninput = 3; int noutput = 1; long int mask = 9]’ 216 | Eigen::Matrix tyw = ty * w; \ | ~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::tweedie_logWOp<0, 3, 1, 9>]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Array >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Array > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1037:36: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1037 | Scalar mgc = g.abs().maxCoeff(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:677:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 677 | auto T2fac = Test2.ldlt(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 325 | mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:677:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 677 | auto T2fac = Test2.ldlt(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:67: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:677:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 677 | auto T2fac = Test2.ldlt(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:677:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 677 | auto T2fac = Test2.ldlt(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:32: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:677:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 677 | auto T2fac = Test2.ldlt(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:56: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:677:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 677 | auto T2fac = Test2.ldlt(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:32: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:677:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 677 | auto T2fac = Test2.ldlt(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >’ 1384 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 1464 | struct unary_evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:677:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 677 | auto T2fac = Test2.ldlt(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 233 | gemm_pack_rhs pack_rhs_panel; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 319 | pack_lhs_panel(blockA, lhs.getSubMapper(i2,absolute_j2), | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 320 | actualPanelWidth, actual_mc, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 321 | actual_kc, j2); | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from ‘void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’ 155 | Matrix buffer((internal::constructor_without_unaligned_array_assert())); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 116 | sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:677:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 677 | auto T2fac = Test2.ldlt(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 2> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>’ 25 | template class TriangularViewImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 2>’ 187 | template class TriangularView | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h:184:26: required from ‘void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLLT >]’ 184 | derived().matrixU().solveInPlace(dest); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:383:22: required from ‘newton::matrix newton::jacobian_sparse_t::llt_solve(const Eigen::SparseMatrix&, const newton::matrix&) [with Factorization = Eigen::SimplicialLLT >]’ 383 | return llt->solve(x); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:173:51: required from ‘newton::vector newton::HessianSolveVector::solve(const newton::vector&, const newton::vector&) [with Hessian_Type = newton::jacobian_sparse_t > >]’ 173 | vector y = hessian -> llt_solve(H, xm).vec(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:191:33: required from ‘void newton::HessianSolveVector::forward(TMBad::ForwardArgs&) [with Hessian_Type = newton::jacobian_sparse_t > >]’ 191 | args.y_segment(0, n) = solve(h, x); | ~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::HessianSolveVector > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalMatrix, 1>, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1>, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalMatrix, 1>, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalMatrix, 1>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalMatrix, 1>, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalMatrix, 1>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalMatrix, 1>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalMatrix, 1>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalMatrix, 1>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalMatrix, 1>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalMatrix, 1>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalMatrix, 1>, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:677:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 677 | auto T2fac = Test2.ldlt(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalMatrix, 1>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalMatrix, 1>, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalMatrix, 1>, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product, Eigen::DiagonalMatrix, 1>; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 366 | dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalMatrix, 1>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::DiagonalMatrix, 1>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, Eigen::DiagonalMatrix, 1>, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]’ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 2, -1, true> >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:127:24: required from ‘typename MatrixType::value_type newton::diagonal_min(const MatrixType&) [with MatrixType = jacobian_sparse_plus_lowrank_t > >::sparse_plus_lowrank; typename MatrixType::value_type = double]’ 127 | return M.diagonal_min(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1061:30: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1061 | Scalar m = diagonal_min(H); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 2, -1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from ‘PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]’ 217 | PanelEvaluator panel_eval(panel); | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ 681 | m_functor.template assignPacket(&m_dst.coeffRef(index), m_src.template packet(index)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75: required from ‘static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >, Eigen::internal::member_sum, 1> >, Eigen::internal::assign_op, 0>]’ 437 | kernel.template assignPacket(index); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array; SrcXprType = Eigen::PartialReduxExpr, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >, member_sum, 1>; Functor = assign_op]’ 785 | dense_assignment_loop::run(kernel); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:127:24: required from ‘typename MatrixType::value_type newton::diagonal_min(const MatrixType&) [with MatrixType = jacobian_sparse_plus_lowrank_t > >::sparse_plus_lowrank; typename MatrixType::value_type = double]’ 127 | return M.diagonal_min(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1061:30: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1061 | Scalar m = diagonal_min(H); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalMatrix, 1>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:127:24: required from ‘typename MatrixType::value_type newton::diagonal_min(const MatrixType&) [with MatrixType = jacobian_sparse_plus_lowrank_t > >::sparse_plus_lowrank; typename MatrixType::value_type = double]’ 127 | return M.diagonal_min(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1061:30: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1061 | Scalar m = diagonal_min(H); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:677:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 677 | auto T2fac = Test2.ldlt(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalMatrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:268:17: required from ‘void newton::jacobian_dense_t::llt_factorize(const newton::matrix&) [with Factorization = Eigen::LLT, 1>]’ 268 | llt->compute(h); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_dense_t<>]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_dense_t<> > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_dense_t<> >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:644:46: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 644 | D = (perm.transpose() * D.matrix()).array(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:644:46: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 644 | D = (perm.transpose() * D.matrix()).array(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 2>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 1, -1, false> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, 1, -1, false>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, Eigen::Matrix, 0> >, const Eigen::ArrayWrapper > >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:214:47: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:127:24: required from ‘typename MatrixType::value_type newton::diagonal_min(const MatrixType&) [with MatrixType = jacobian_sparse_plus_lowrank_t > >::sparse_plus_lowrank; typename MatrixType::value_type = double]’ 127 | return M.diagonal_min(); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1061:30: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1061 | Scalar m = diagonal_min(H); | ~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalMatrix, 1>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalMatrix, 1>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalMatrix, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:673:28: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 673 | matrix T = AXAT(Eigen::MatrixXd(Rpos.transpose()), Dpos_inv); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:695:56: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 695 | matrix H0M = h.H0 * h.G.transpose() * W; | ~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, 1, false>; Derived = Eigen::Block, 1, 1, false>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:644:46: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 644 | D = (perm.transpose() * D.matrix()).array(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block >, 1, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block >, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block >, 1, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block >, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block >, 1, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:644:46: required from ‘void newton::jacobian_sparse_plus_lowrank_t::llt_factorize(const sparse_plus_lowrank&) [with Fac = Eigen::SimplicialLDLT >]’ 644 | D = (perm.transpose() * D.matrix()).array(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1073:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1073 | hessian -> llt_factorize(H); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:698:34: required from ‘newton::matrix newton::jacobian_sparse_plus_lowrank_t::llt_solve(const sparse_plus_lowrank&, const newton::matrix&) [with Fac = Eigen::SimplicialLDLT >]’ 698 | matrix y2 = W * H0M.lu().solve(h.H0 * W.transpose() * x); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1081:33: required from ‘const char* newton::NewtonOperator::newton_iterate(newton::vector&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1081 | x - hessian -> llt_solve(H, g).array(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:1155:5: required from ‘void newton::NewtonOperator::forward(TMBad::ForwardArgs&) [with Functor = newton::slice<>; Hessian_Type = newton::jacobian_sparse_plus_lowrank_t > >]’ 1155 | newton_iterate(sol); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1758:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::forward(TMBad::ForwardArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement, newton::jacobian_sparse_plus_lowrank_t > > > > >]’ 1758 | OperatorBase::forward(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:57: required from ‘void TMBad::global::Complete::forward(TMBad::ForwardArgs&) [with OperatorBase = newton::NewtonOperator, newton::jacobian_sparse_plus_lowrank_t > > >]’ 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2154:10: required from here 2154 | void forward(ForwardArgs &args) { Op.forward(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:74:1: required from ‘void atomic::logspace_addOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 2; int ninput = 2; int noutput = 4; long int mask = 9]’ 214 | Eigen::Matrix ty; \ | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::logspace_addOp<2, 2, 4, 9>]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:74:1: required from ‘void atomic::logspace_addOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 2; int ninput = 2; int noutput = 4; long int mask = 9]’ 216 | Eigen::Matrix tyw = ty * w; \ | ~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::logspace_addOp<2, 2, 4, 9>]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:263:57: required from ‘newton::vector newton::jacobian_dense_t::crossprod(const newton::vector&, const newton::vector&) [with T = double; Factorization = Eigen::LLT, 1>]’ 263 | matrix ans = ( y2.matrix() * y.matrix().transpose() ).array(); | ~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:204:45: required from ‘void newton::HessianSolveVector::reverse(TMBad::ReverseArgs&) [with T = double; Hessian_Type = newton::jacobian_dense_t<>]’ 204 | vector y2y_j = hessian -> crossprod(y2_j, y_j); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::HessianSolveVector >]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose > >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose > >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:263:35: required from ‘newton::vector newton::jacobian_dense_t::crossprod(const newton::vector&, const newton::vector&) [with T = double; Factorization = Eigen::LLT, 1>]’ 263 | matrix ans = ( y2.matrix() * y.matrix().transpose() ).array(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:204:45: required from ‘void newton::HessianSolveVector::reverse(TMBad::ReverseArgs&) [with T = double; Hessian_Type = newton::jacobian_dense_t<>]’ 204 | vector y2y_j = hessian -> crossprod(y2_j, y_j); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::HessianSolveVector >]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose > >, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose > >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, Eigen::Transpose > >, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, Eigen::Transpose > >, 0> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:263:67: required from ‘newton::vector newton::jacobian_dense_t::crossprod(const newton::vector&, const newton::vector&) [with T = double; Factorization = Eigen::LLT, 1>]’ 263 | matrix ans = ( y2.matrix() * y.matrix().transpose() ).array(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:204:45: required from ‘void newton::HessianSolveVector::reverse(TMBad::ReverseArgs&) [with T = double; Hessian_Type = newton::jacobian_dense_t<>]’ 204 | vector y2y_j = hessian -> crossprod(y2_j, y_j); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::HessianSolveVector >]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:74:1: required from ‘void atomic::logspace_addOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 2; int ninput = 2; int noutput = 4; long int mask = 9]’ 216 | Eigen::Matrix tyw = ty * w; \ | ~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::logspace_addOp<2, 2, 4, 9>]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Matrix; Lhs = Eigen::MatrixWrapper >; Rhs = Eigen::Transpose > >; Func = generic_product_impl >, Eigen::Transpose > >, Eigen::DenseShape, Eigen::DenseShape, 5>::set]’ 280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:317:41: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:94:54: required from ‘newton::matrix::matrix(const Eigen::ArrayBase&) [with Derived = Eigen::ArrayWrapper >, Eigen::Transpose > >, 0> >; Type = double]’ 94 | matrix(const Eigen::ArrayBase &x) : Base(x) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:263:67: required from ‘newton::vector newton::jacobian_dense_t::crossprod(const newton::vector&, const newton::vector&) [with T = double; Factorization = Eigen::LLT, 1>]’ 263 | matrix ans = ( y2.matrix() * y.matrix().transpose() ).array(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tmbutils/newton.hpp:204:45: required from ‘void newton::HessianSolveVector::reverse(TMBad::ReverseArgs&) [with T = double; Hessian_Type = newton::jacobian_dense_t<>]’ 204 | vector y2y_j = hessian -> crossprod(y2_j, y_j); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = newton::HessianSolveVector >]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:62:1: required from ‘void atomic::tweedie_logWOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 3; int ninput = 3; int noutput = 8; long int mask = 9]’ 214 | Eigen::Matrix ty; \ | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::tweedie_logWOp<3, 3, 8, 9>]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:62:1: required from ‘void atomic::tweedie_logWOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 3; int ninput = 3; int noutput = 8; long int mask = 9]’ 216 | Eigen::Matrix tyw = ty * w; \ | ~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::tweedie_logWOp<3, 3, 8, 9>]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 2; int _Cols = 1; int _Options = 0; int _MaxRows = 2; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/tiny_ad/atomic.hpp:62:1: required from ‘void atomic::tweedie_logWOp::reverse(TMBad::ReverseArgs&) [with Type = double; int order = 3; int ninput = 3; int noutput = 8; long int mask = 9]’ 216 | Eigen::Matrix tyw = ty * w; \ | ~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:1762:28: required from ‘void TMBad::global::AddForwardMarkReverseMark::reverse(TMBad::ReverseArgs&) [with Type = double; OperatorBase = TMBad::global::AddIncrementDecrement > > >]’ 1762 | OperatorBase::reverse(args); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:57: required from ‘void TMBad::global::Complete::reverse(TMBad::ReverseArgs&) [with OperatorBase = atomic::tweedie_logWOp<3, 3, 8, 9>]’ 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/global.hpp:2155:10: required from here 2155 | void reverse(ReverseArgs &args) { Op.reverse(args); } | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMB.hpp:137: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp: In function ‘TMBad::ad_adapt TMBad::F(const ad_adapt&, const ad_adapt&)’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:3110:10: warning: infinite recursion detected [-Winfinite-recursion] 3110 | ad_adapt F(const ad_adapt &x1, const ad_adapt &x2) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/TMB/include/TMBad/TMBad.cpp:3111:20: note: recursive call 3111 | return ad_adapt(F(ad_aug(x1), ad_aug(x2))); | ~^~~~~~~~~~~~~~~~~~~~~~~~ g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o tinyVAST.so tinyVAST.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpR2UsxX/R.INSTALL345a091dc2d02f/tinyVAST/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-tinyVAST/00new/tinyVAST/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tinyVAST) checking rnaturalearth_1.2.0.tar.gz ... checking BeeBDC_1.3.2.tar.gz ... checking BOLDconnectR_1.0.0.tar.gz ... checking commecometrics_1.0.1.tar.gz ... checking Directional_7.3.tar.gz ... checking CoordinateCleaner_3.0.1.tar.gz ... checking geeLite_1.0.6.tar.gz ... checking esviz_0.0.1.tar.gz ... checking geohabnet_2.2.tar.gz ... checking geofacet_0.2.4.tar.gz ... checking geospatialsuite_0.1.1.tar.gz ... checking GGoutlieR_1.0.2.tar.gz ... checking IceSat2R_1.0.7.tar.gz ... checking ISRaD_2.5.5.tar.gz ... checking prisonbrief_0.1.2.tar.gz ... checking monographaR_1.3.1.tar.gz ... checking rangeBuilder_2.2.tar.gz ... checking sampbias_2.0.0.tar.gz ... checking SDGdetector_2.7.3.tar.gz ... checking virtualspecies_1.6.1.tar.gz ... checking voluModel_0.2.3.tar.gz ... checking bioregion_1.2.0.tar.gz ... checking cartographer_0.2.1.tar.gz ... checking CAST_1.0.3.tar.gz ... checking cmsafvis_1.3.0.tar.gz ... checking colorist_0.1.3.tar.gz ... checking csquares_0.1.0.tar.gz ... checking divvy_1.0.1.tar.gz ... checking slendr_1.4.0.tar.gz ... checking rdwd_1.9.8.tar.gz ... checking metR_0.18.3.tar.gz ... checking ebirdst_3.2023.1.tar.gz ... checking rice_1.6.0.tar.gz ... checking mvtweedie_1.2.0.tar.gz ... checking GIFT_1.3.3.tar.gz ... checking RRgeo_0.0.6.tar.gz ... checking naturaList_0.5.2.tar.gz ... checking Tivy_0.1.1.tar.gz ... checking latbias_1.0.0.tar.gz ... checking igrf_2.0.tar.gz ... checking skylight_1.4.tar.gz ... checking TTR.PGM_1.0.0.tar.gz ... checking quadkeyr_0.1.0.tar.gz ... checking rmacrostrat_1.0.0.tar.gz ... checking tinyVAST_1.4.0.tar.gz ... checking gmwmx2_0.0.4.tar.gz ... checking INLAspacetime_0.1.13.tar.gz ... checking maps_3.4.3.tar.gz ... checking tidypopgen_0.4.1.tar.gz ... checking rcarbon_1.5.2.tar.gz ... checking getRad_0.2.4.tar.gz ... checking move2_0.4.5.tar.gz ... checking fishualize_0.2.3.tar.gz ... checking RtsEva_1.1.0.tar.gz ... checking shoredate_1.1.1.tar.gz ... checking ssMRCD_2.0.1.tar.gz ... Depends: Package: rnaturalearth Depends: R (>= 3.1.1) Imports: cli, httr (>= 1.1.0), jsonlite, sf (>= 0.3-4), terra, utils (>= 3.2.3) Timings: user system elapsed rnaturalearth 52.079 5.621 60.767 Results: Check status summary: ERROR NOTE OK Source packages 0 1 0 Reverse depends 1 3 51 Check results summary: rnaturalearth ... NOTE * checking examples ... [9s/9s] NOTE rdepends_BeeBDC ... NOTE * checking Rd cross-references ... NOTE rdepends_bioregion ... OK rdepends_BOLDconnectR ... OK rdepends_cartographer ... NOTE * checking compiled code ... NOTE rdepends_CAST ... ERROR * checking tests ... [124s/121s] ERROR rdepends_cmsafvis ... OK rdepends_colorist ... OK rdepends_commecometrics ... OK rdepends_CoordinateCleaner ... OK rdepends_csquares ... OK rdepends_Directional ... OK rdepends_divvy ... OK rdepends_ebirdst ... OK rdepends_esviz ... OK rdepends_fishualize ... OK rdepends_geeLite ... OK rdepends_geofacet ... OK rdepends_geohabnet ... OK rdepends_geospatialsuite ... OK rdepends_getRad ... OK rdepends_GGoutlieR ... OK rdepends_GIFT ... OK rdepends_gmwmx2 ... OK rdepends_IceSat2R ... OK rdepends_igrf ... OK rdepends_INLAspacetime ... OK rdepends_ISRaD ... NOTE * checking Rd files ... [0s/0s] NOTE rdepends_latbias ... OK rdepends_maps ... OK rdepends_metR ... OK rdepends_monographaR ... OK rdepends_move2 ... OK rdepends_mvtweedie ... OK rdepends_naturaList ... OK rdepends_prisonbrief ... OK rdepends_quadkeyr ... OK rdepends_rangeBuilder ... OK rdepends_rcarbon ... OK rdepends_rdwd ... OK rdepends_rice ... OK rdepends_rmacrostrat ... OK rdepends_RRgeo ... OK rdepends_RtsEva ... OK rdepends_sampbias ... OK rdepends_SDGdetector ... OK rdepends_shoredate ... OK rdepends_skylight ... OK rdepends_slendr ... OK rdepends_ssMRCD ... OK rdepends_tidypopgen ... OK rdepends_tinyVAST ... OK rdepends_Tivy ... OK rdepends_TTR.PGM ... OK rdepends_virtualspecies ... OK rdepends_voluModel ... OK Check results changes: Package: CAST Check: tests New result: ERROR Package: monographaR Check: CRAN incoming feasibility Old result: NOTE Package: prisonbrief Check: CRAN incoming feasibility Old result: NOTE